Provides analytic support and services across the organization. Develops new analytical models and business intelligence solutions in order to provide actionable insights. Works with business stakeholders to model and frame meaningful business scenarios which materially impact critical business processes and/or decisions. Delivers projects related to performance dashboards, advanced analytics, enterprise data management, master data management, and analytic applications using a combination of methodologies.
Candidate demonstrates intellectual curiosity, business acuity and attention to detail. Experience with business intelligence tools, data mining concepts, predictive analytic concepts and data integration tools strongly preferred. Candidate will possess, or quickly gain, an understanding of SAP and Microsoft analytic tools as well as an understanding of data modelling and data integration tools and concepts. Must be able to learn new technologies/concepts and be proactive in applying that knowledge to work. Candidate will demonstrate excellent communication skills and comfort in leading discussions.
Minimum Qualifications
MSc in Business, Economics, Mathematics, Statistics, or Computer Science, OR
Bachelor’s in Business, Economics, Mathematics, Statistics, or Computer Science (OR the equivalent combination of directly related education and experience in quantitative, business intelligence, and data management analysis), AND
Three (3) years directly related subject matter expertise, quantitative, business intelligence and data management skills.
Preferred Qualifications
Data analysis techniques including segmentation analysis, propensity modeling, and multivariate analysis.
Data modeling and database design for analytics and business intelligence solutions.
Dashboard design techniques.
Strong analytical skills.
Intellectual curiosity with the ability to analyze and manage complex problems and design integrated solutions.
Ability to effectively communicate complex ideas across all levels of the organization.
Work effectively in a collaborative team environment along with the commitment to the overall success of a group.
Benefits
Complete benefits plan and retirement program.
To Apply
Interested individuals should start by clicking " Apply Now" on icrunchdata, then complete the online application and submit cover letter and resume by April 30, 2019.
AN EQUAL OPPORTUNITY EMPLOYER OF MINORITIES, WOMEN, DISABLED AND VETERANS
Apr 16, 2019
Full-time
Provides analytic support and services across the organization. Develops new analytical models and business intelligence solutions in order to provide actionable insights. Works with business stakeholders to model and frame meaningful business scenarios which materially impact critical business processes and/or decisions. Delivers projects related to performance dashboards, advanced analytics, enterprise data management, master data management, and analytic applications using a combination of methodologies.
Candidate demonstrates intellectual curiosity, business acuity and attention to detail. Experience with business intelligence tools, data mining concepts, predictive analytic concepts and data integration tools strongly preferred. Candidate will possess, or quickly gain, an understanding of SAP and Microsoft analytic tools as well as an understanding of data modelling and data integration tools and concepts. Must be able to learn new technologies/concepts and be proactive in applying that knowledge to work. Candidate will demonstrate excellent communication skills and comfort in leading discussions.
Minimum Qualifications
MSc in Business, Economics, Mathematics, Statistics, or Computer Science, OR
Bachelor’s in Business, Economics, Mathematics, Statistics, or Computer Science (OR the equivalent combination of directly related education and experience in quantitative, business intelligence, and data management analysis), AND
Three (3) years directly related subject matter expertise, quantitative, business intelligence and data management skills.
Preferred Qualifications
Data analysis techniques including segmentation analysis, propensity modeling, and multivariate analysis.
Data modeling and database design for analytics and business intelligence solutions.
Dashboard design techniques.
Strong analytical skills.
Intellectual curiosity with the ability to analyze and manage complex problems and design integrated solutions.
Ability to effectively communicate complex ideas across all levels of the organization.
Work effectively in a collaborative team environment along with the commitment to the overall success of a group.
Benefits
Complete benefits plan and retirement program.
To Apply
Interested individuals should start by clicking " Apply Now" on icrunchdata, then complete the online application and submit cover letter and resume by April 30, 2019.
AN EQUAL OPPORTUNITY EMPLOYER OF MINORITIES, WOMEN, DISABLED AND VETERANS
This is an exciting new position within IT for the City of Fort Collins.
The selected professional will have the opportunity to come in on the ground floor of creating a new Data Warehouse for the Utilities Service Area. With minimal direction the Data Warehouse Architect will strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability and accuracy for analysts and staff across the organization. This individual is responsible for defining data standards and models for warehouse architectures as well as data quality standards.
The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, BI tools and database management systems.
Responsibilities
Strategy & Planning
Assess and cultivate long-term strategic goals for data warehousing in conjunction with data users, analysts, department managers, clients, and other key stakeholders.
Coordinate and work with other technical staff to develop database architectures, coding standards, and quality assurance policies and procedures.
Plan and implement capacity and resource expansion to ensure data warehouse scalability.
Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.
Acquisition & Deployment
Use existing knowledge and conduct research to make recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts.
Evaluate, recommend, and collaboratively select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, meta data management tools and business intelligence solutions.
Operational Management
Work with data analysts within the Utilities’ organization to gather requirements for a data warehouse, data cube, or similar solution.
Work with end users and analysts to identify, create, and deliver data structures according to requirements.
Develop efficient and accurate ETL methods for efficiently loading the data warehouse, data mart, or other data store.
Create models for new data warehouse development and/or changes to existing data stores.
Work with analysts to create robust metadata describing the contents of the data warehouse.
Work with analysts at the Utilities to determine needed frequency of updating the data in the data warehouse/data mart/cube or other consolidated data store.
Design and manage data warehouse improvement and growth projects.
Identify inefficiencies and gaps in current data warehouse solutions and leverage solutions.
Identify data discrepancies and data quality issues and ensure data consistency and integrity.
Diagnose and resolve data warehouse access and performance issues.
Install and configure relevant components to ensure data warehouse access.
Execute data warehouse configuration and performance tuning.
Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements.
Ability to learn operational business process quickly.
Perform cost estimates for data migration between development, test, and production systems, and from source systems. Plan and coordinate these migrations.
Develop, implement, and maintain change control and testing processes for modifications to data systems.
Mentor and/or provide leadership to junior members of the team and other stakeholders.
Position Requirements
Formal Education & Certification
College diploma or university degree in the field of computer science, information systems, or computer engineering and/or 8 years of equivalent direct work experience in data warehousing, information engineering, and executive dashboarding.
Certifications in database technologies a plus.
Project Management Professional preferred
Knowledge & Experience
Working technical experience with designing, building, installing, configuring and supporting multi-terabyte data warehouses.
Significant experience with database platforms, including Oracle, SQL Server, and multi-dimensional data models.
Strong understanding of denormalization of data as it applies to data warehousing.
Strong understanding of star schema and dimensional tables.
Strong understanding of relational database structures, theories, principles, and practices.
Hands-on experience with information engineering, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Ability to quickly understand in-house data-intensive applications.
In-depth technical knowledge of computing environments including servers, and client computing systems.
Working technical knowledge of current systems software, protocols, and standards, including best coding practices, ETL best practices, cyber security, and advances in current data warehousing tools.
Must have strong demonstrated project management skills that include collaboration and change management abilities.
Experience with process flow charting using tools such as Visio.
Proven project management experience
Strong ability to quickly understand the organization’s goals and objectives.
Good knowledge of applicable data privacy practices and laws.
Personal Attributes
Exceptional analytical, conceptual, and problem-solving abilities.
Strong written and oral communication skills.
Excellent technical architecture and technical support documentation skills.
Strong presentation and interpersonal skills.
Ability to work cross-organizationally to understand/document needs of entire organization.
Ability to conduct research into database issues, standards and products as required.
Ability to present ideas in user-friendly language.
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Experience working in a team-oriented, highly collaborative environment.
Work Conditions
Works in office environment
Sitting for extended periods of time.
Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components.
Lifting and transporting of moderately heavy objects, such as computers, devices, and peripherals.
The City of Fort Collins will make reasonable accommodations for access to City services, programs and activities and will make special communication arrangements for persons with disabilities.
Notice Regarding Medical and/or Recreational Marijuana Use : Because the possession and use of marijuana, whether for medical use or otherwise, constitutes a federal offense and because the City is a drug free workplace, the City will not accommodate the medical use of marijuana and enforces written policy prohibiting working for the City while marijuana is in the body. The fact that state law recognizes medical marijuana as a prescribed, or otherwise permitted, medication does not alter or otherwise change this policy. The City of Fort Collins is an Equal Opportunity Employer. Applicants are considered for positions for which they have applied without regard to gender (regardless of gender identity or gender expression), race, color, religion, creed, national origin, ancestry, age 40 years or older, marital status, disability, sexual orientation, genetic information, pregnancy or other characteristics protected by law. For the purpose of this City policy “sexual orientation” means a person’s actual or perceived orientation toward heterosexuality, homosexuality, bisexuality.
BACKGROUND CHECK/MOTOR VEHICLE REPORT AND DRUG TEST REQUIRED WITHIN 48 HOURS OF OFFER. Note: Some information in your application may be public information under the Colorado Open Records Act.
Apr 08, 2019
Full-time
This is an exciting new position within IT for the City of Fort Collins.
The selected professional will have the opportunity to come in on the ground floor of creating a new Data Warehouse for the Utilities Service Area. With minimal direction the Data Warehouse Architect will strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability and accuracy for analysts and staff across the organization. This individual is responsible for defining data standards and models for warehouse architectures as well as data quality standards.
The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, BI tools and database management systems.
Responsibilities
Strategy & Planning
Assess and cultivate long-term strategic goals for data warehousing in conjunction with data users, analysts, department managers, clients, and other key stakeholders.
Coordinate and work with other technical staff to develop database architectures, coding standards, and quality assurance policies and procedures.
Plan and implement capacity and resource expansion to ensure data warehouse scalability.
Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.
Acquisition & Deployment
Use existing knowledge and conduct research to make recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts.
Evaluate, recommend, and collaboratively select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, meta data management tools and business intelligence solutions.
Operational Management
Work with data analysts within the Utilities’ organization to gather requirements for a data warehouse, data cube, or similar solution.
Work with end users and analysts to identify, create, and deliver data structures according to requirements.
Develop efficient and accurate ETL methods for efficiently loading the data warehouse, data mart, or other data store.
Create models for new data warehouse development and/or changes to existing data stores.
Work with analysts to create robust metadata describing the contents of the data warehouse.
Work with analysts at the Utilities to determine needed frequency of updating the data in the data warehouse/data mart/cube or other consolidated data store.
Design and manage data warehouse improvement and growth projects.
Identify inefficiencies and gaps in current data warehouse solutions and leverage solutions.
Identify data discrepancies and data quality issues and ensure data consistency and integrity.
Diagnose and resolve data warehouse access and performance issues.
Install and configure relevant components to ensure data warehouse access.
Execute data warehouse configuration and performance tuning.
Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements.
Ability to learn operational business process quickly.
Perform cost estimates for data migration between development, test, and production systems, and from source systems. Plan and coordinate these migrations.
Develop, implement, and maintain change control and testing processes for modifications to data systems.
Mentor and/or provide leadership to junior members of the team and other stakeholders.
Position Requirements
Formal Education & Certification
College diploma or university degree in the field of computer science, information systems, or computer engineering and/or 8 years of equivalent direct work experience in data warehousing, information engineering, and executive dashboarding.
Certifications in database technologies a plus.
Project Management Professional preferred
Knowledge & Experience
Working technical experience with designing, building, installing, configuring and supporting multi-terabyte data warehouses.
Significant experience with database platforms, including Oracle, SQL Server, and multi-dimensional data models.
Strong understanding of denormalization of data as it applies to data warehousing.
Strong understanding of star schema and dimensional tables.
Strong understanding of relational database structures, theories, principles, and practices.
Hands-on experience with information engineering, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Ability to quickly understand in-house data-intensive applications.
In-depth technical knowledge of computing environments including servers, and client computing systems.
Working technical knowledge of current systems software, protocols, and standards, including best coding practices, ETL best practices, cyber security, and advances in current data warehousing tools.
Must have strong demonstrated project management skills that include collaboration and change management abilities.
Experience with process flow charting using tools such as Visio.
Proven project management experience
Strong ability to quickly understand the organization’s goals and objectives.
Good knowledge of applicable data privacy practices and laws.
Personal Attributes
Exceptional analytical, conceptual, and problem-solving abilities.
Strong written and oral communication skills.
Excellent technical architecture and technical support documentation skills.
Strong presentation and interpersonal skills.
Ability to work cross-organizationally to understand/document needs of entire organization.
Ability to conduct research into database issues, standards and products as required.
Ability to present ideas in user-friendly language.
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Experience working in a team-oriented, highly collaborative environment.
Work Conditions
Works in office environment
Sitting for extended periods of time.
Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components.
Lifting and transporting of moderately heavy objects, such as computers, devices, and peripherals.
The City of Fort Collins will make reasonable accommodations for access to City services, programs and activities and will make special communication arrangements for persons with disabilities.
Notice Regarding Medical and/or Recreational Marijuana Use : Because the possession and use of marijuana, whether for medical use or otherwise, constitutes a federal offense and because the City is a drug free workplace, the City will not accommodate the medical use of marijuana and enforces written policy prohibiting working for the City while marijuana is in the body. The fact that state law recognizes medical marijuana as a prescribed, or otherwise permitted, medication does not alter or otherwise change this policy. The City of Fort Collins is an Equal Opportunity Employer. Applicants are considered for positions for which they have applied without regard to gender (regardless of gender identity or gender expression), race, color, religion, creed, national origin, ancestry, age 40 years or older, marital status, disability, sexual orientation, genetic information, pregnancy or other characteristics protected by law. For the purpose of this City policy “sexual orientation” means a person’s actual or perceived orientation toward heterosexuality, homosexuality, bisexuality.
BACKGROUND CHECK/MOTOR VEHICLE REPORT AND DRUG TEST REQUIRED WITHIN 48 HOURS OF OFFER. Note: Some information in your application may be public information under the Colorado Open Records Act.
Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of:
Profitable growth,
Improved competitive position,
Use of cutting edge methods and forward thinking in development of new products,
Maintenance of existing products with a fresh and ever-evolving point of view
Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss.
Research & Development
Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.
Modelers can expect to:
Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning)
Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python)
Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights
Assist with research and implementation of technology using machine learning and artificial intelligence techniques
Train/coach team members/peers and actively share expertise
Identify approaches and tools that can bring efficiencies or needed techniques to the team
Communicate/present findings to R&D staff as well as business partners
Requirements
Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc.
Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Robust analytical, critical thinking, and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus.
2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required.
S ponsorship is available for this position for candidates who already possess their H1B visa.
This position is available in either Wilmington, DE or Independence, OH.
Mar 29, 2019
Full-time
Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of:
Profitable growth,
Improved competitive position,
Use of cutting edge methods and forward thinking in development of new products,
Maintenance of existing products with a fresh and ever-evolving point of view
Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss.
Research & Development
Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.
Modelers can expect to:
Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning)
Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python)
Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights
Assist with research and implementation of technology using machine learning and artificial intelligence techniques
Train/coach team members/peers and actively share expertise
Identify approaches and tools that can bring efficiencies or needed techniques to the team
Communicate/present findings to R&D staff as well as business partners
Requirements
Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc.
Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Robust analytical, critical thinking, and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus.
2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required.
S ponsorship is available for this position for candidates who already possess their H1B visa.
This position is available in either Wilmington, DE or Independence, OH.
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Feb 01, 2019
Full-time
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
Feb 01, 2019
Full-time
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
