Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
Project
The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally.
Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations.
Tasks
Job Functions and Responsibilities
Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R);
Build, iterate and validate predictive models using multiple statistical techniques;
Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
Play a key role in developing a data infrastructure;
Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data;
Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
Provide insight on how to turn data insights into concrete measurable actions;
Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics;
When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data;
Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s).
Travel
The role will not include travel, however collaboration with teams across the MSF movement globally may be required.
Basic Qualifications
Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions;
A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.);
Must have expert skills and knowledge in R and Python;
Experience with other general-purpose programming language like Java is a plus;
Strong skills in applied statistics skills using a variety of techniques to extract insights from data;
Proficiency in relational and non-relational databases including SQL;
Expert skills in MS Excel;
Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau);
Experience in data mining;
Experience in data wrangling/cleansing;
Familiarity with Natural Language Processing;
Familiarity with machine learning, deep learning, neural networks and data engineering;
Superior attention to detail;
Excellent communication and data visualization skills;
Passion for data and its use in driving organizational change;
Ability to adapt to a rapidly growing and scaling work environment;
Strong work ethic, intellectual curiosity, and positive attitude;
A willingness to perform other tasks as assigned.
Preferred Qualifications
Analytics experience in the HR, non-profit, humanitarian or global health field;
An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
Experience with deploying data tools for non-technical end users;
Experience with People Data such as compensation, attrition/retention, and leadership pipeline development;
Experience working on a global team.
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Fixed Term Contract (12 Month Contract)
Additional Information
Starting salary high 80s to low 90s (commensurate with experience);
Relocation assistance and visa sponsorship will be offered for this position.
Desired Hiring Date
ASAP
Working Time %
100,00
How to Apply
Click the Apply Now button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed.
Application Deadline: August 30, 2019
*Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.
Jul 31, 2019
Full-time
Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
Project
The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally.
Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations.
Tasks
Job Functions and Responsibilities
Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R);
Build, iterate and validate predictive models using multiple statistical techniques;
Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
Play a key role in developing a data infrastructure;
Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data;
Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
Provide insight on how to turn data insights into concrete measurable actions;
Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics;
When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data;
Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s).
Travel
The role will not include travel, however collaboration with teams across the MSF movement globally may be required.
Basic Qualifications
Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions;
A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.);
Must have expert skills and knowledge in R and Python;
Experience with other general-purpose programming language like Java is a plus;
Strong skills in applied statistics skills using a variety of techniques to extract insights from data;
Proficiency in relational and non-relational databases including SQL;
Expert skills in MS Excel;
Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau);
Experience in data mining;
Experience in data wrangling/cleansing;
Familiarity with Natural Language Processing;
Familiarity with machine learning, deep learning, neural networks and data engineering;
Superior attention to detail;
Excellent communication and data visualization skills;
Passion for data and its use in driving organizational change;
Ability to adapt to a rapidly growing and scaling work environment;
Strong work ethic, intellectual curiosity, and positive attitude;
A willingness to perform other tasks as assigned.
Preferred Qualifications
Analytics experience in the HR, non-profit, humanitarian or global health field;
An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
Experience with deploying data tools for non-technical end users;
Experience with People Data such as compensation, attrition/retention, and leadership pipeline development;
Experience working on a global team.
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Fixed Term Contract (12 Month Contract)
Additional Information
Starting salary high 80s to low 90s (commensurate with experience);
Relocation assistance and visa sponsorship will be offered for this position.
Desired Hiring Date
ASAP
Working Time %
100,00
How to Apply
Click the Apply Now button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed.
Application Deadline: August 30, 2019
*Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.
Movies Anywhere is the next generation of in-home entertainment, providing an unparalleled digital entertainment experience. Leveraging cutting edge technology, unique partnerships, and a talented team, Movies Anywhere is an exclusive, cross-platform, cloud-based movie service that enables consumers to seamlessly discover, grow, access, and enjoy their personal digital movie collection across a variety of studios, retailers, and platforms all in one convenient app and/or website. Movies Anywhere seeks a Staff Data Engineer to join a team of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for a self-starting engineer who wants to shape the next generation of video consumption applications. We’re a casual shop that values passion, community involvement and code that stands out. If you are interested, we’d love to hear from you. The Data Engineer will work in a small team of multi-disciplined technologists developing insights to drive the Business, Marketing and Finance decisions for our next-generation video delivery and consumption platform. We expect you to be up to date on the happening in the data community, passionate about what you do, and connected to the open source community. You will participate in overall system design, developing multi-tiered data solutions emphasizing reuse and good design patterns.
Responsibilities :
Design, build and implement Hadoop/Spark batch jobs
Build and optimize performance of Spark, Kafka, ELK, and whatever else makes sense for real-time pipelines
Design and architect high quality data-lake, data-warehouse, and data-marts data models
Enable and implement Data Science workflows and advanced machine learning algorithms
Build and optimize performance of ElasticSearch cluster and relevance
Build and maintain data pipelines orchestration
Develop and cultivate expertise in current and new technologies and tools
Collaborate with other software engineers and cross-functional teams
Share new ideas with a larger community of highly experienced technologists
Ability to prioritize tasks, requirements, and complexity
Mentor junior data engineers on best practices
Basic Qualifications :
Real passion for coding (If you have a Github profile, that’s awesome! We would love to check it out!)
Understanding of distributed systems and distributed computation
Working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang
Working knowledge of data Apache Spark ecosystem technologies like Spark, Kafka, Hive, Presto, Oozie, Pig, Hue, Zeppelin
Demonstrated working knowledge of data modeling, data-warehouse, data-mart and data-lake
Unit, Integration, and Load testing
Developing REST APIs
Git
Maven, SBT, and/or Gradle
Unix/Linux
Docker containers building and deployment
Working experience of AWS
Excellent communication and collaboration skills
Preferred Qualifications:
Knowledge of Machine Learning Frameworks (MLib,Tensorflow, etc)
GraphQL Knowledge
Kubernetes knowledge
Apache Spark GraphX
R
GitLab CI/CD
Akka Streams
Required Education :
BS in Computer Science or related field with 7+ years of experience
Aug 15, 2019
Full-time
Movies Anywhere is the next generation of in-home entertainment, providing an unparalleled digital entertainment experience. Leveraging cutting edge technology, unique partnerships, and a talented team, Movies Anywhere is an exclusive, cross-platform, cloud-based movie service that enables consumers to seamlessly discover, grow, access, and enjoy their personal digital movie collection across a variety of studios, retailers, and platforms all in one convenient app and/or website. Movies Anywhere seeks a Staff Data Engineer to join a team of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for a self-starting engineer who wants to shape the next generation of video consumption applications. We’re a casual shop that values passion, community involvement and code that stands out. If you are interested, we’d love to hear from you. The Data Engineer will work in a small team of multi-disciplined technologists developing insights to drive the Business, Marketing and Finance decisions for our next-generation video delivery and consumption platform. We expect you to be up to date on the happening in the data community, passionate about what you do, and connected to the open source community. You will participate in overall system design, developing multi-tiered data solutions emphasizing reuse and good design patterns.
Responsibilities :
Design, build and implement Hadoop/Spark batch jobs
Build and optimize performance of Spark, Kafka, ELK, and whatever else makes sense for real-time pipelines
Design and architect high quality data-lake, data-warehouse, and data-marts data models
Enable and implement Data Science workflows and advanced machine learning algorithms
Build and optimize performance of ElasticSearch cluster and relevance
Build and maintain data pipelines orchestration
Develop and cultivate expertise in current and new technologies and tools
Collaborate with other software engineers and cross-functional teams
Share new ideas with a larger community of highly experienced technologists
Ability to prioritize tasks, requirements, and complexity
Mentor junior data engineers on best practices
Basic Qualifications :
Real passion for coding (If you have a Github profile, that’s awesome! We would love to check it out!)
Understanding of distributed systems and distributed computation
Working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang
Working knowledge of data Apache Spark ecosystem technologies like Spark, Kafka, Hive, Presto, Oozie, Pig, Hue, Zeppelin
Demonstrated working knowledge of data modeling, data-warehouse, data-mart and data-lake
Unit, Integration, and Load testing
Developing REST APIs
Git
Maven, SBT, and/or Gradle
Unix/Linux
Docker containers building and deployment
Working experience of AWS
Excellent communication and collaboration skills
Preferred Qualifications:
Knowledge of Machine Learning Frameworks (MLib,Tensorflow, etc)
GraphQL Knowledge
Kubernetes knowledge
Apache Spark GraphX
R
GitLab CI/CD
Akka Streams
Required Education :
BS in Computer Science or related field with 7+ years of experience
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
Responsibilities :
Architect and lead the implementation of distributed systems solutions to data engineering problems.
Partner with management in hiring and team building
Analyze business needs, and design and build high-quality solutions
Balance resources, requirements, and complexity
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Basic Qualifications :
We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate:
An educational background that has facilitated your technology career--surprise us!
10+ years of professional software experience
Passion for building high-quality software and systems that deliver business value
Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
You should have some mastery of:
Spark, Hive, Databricks, and other big data technologies
SQL and related tools
Docker and Kubernetes
The AWS environment and toolset
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Distributed systems and API design
Testing practices (unit, integration, performance)
Revision control with git
Preferred Qualifications:
It would be great if you knew anything about:
Kafka and other streaming technologies
Dependency and build tools for continuous integration and deployment
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, Snowflake, and other data warehouse solutions
Tableau, MicroStrategy, d3, and other data visualization tools
It would be cool if you have experience with or interest in:
Data science, statistics, machine learning and other applied mathematics
Data lake implementation and support
GraphQL
DynamoDB or RDS
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
Responsibilities :
Architect and lead the implementation of distributed systems solutions to data engineering problems.
Partner with management in hiring and team building
Analyze business needs, and design and build high-quality solutions
Balance resources, requirements, and complexity
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Basic Qualifications :
We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate:
An educational background that has facilitated your technology career--surprise us!
10+ years of professional software experience
Passion for building high-quality software and systems that deliver business value
Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
You should have some mastery of:
Spark, Hive, Databricks, and other big data technologies
SQL and related tools
Docker and Kubernetes
The AWS environment and toolset
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Distributed systems and API design
Testing practices (unit, integration, performance)
Revision control with git
Preferred Qualifications:
It would be great if you knew anything about:
Kafka and other streaming technologies
Dependency and build tools for continuous integration and deployment
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, Snowflake, and other data warehouse solutions
Tableau, MicroStrategy, d3, and other data visualization tools
It would be cool if you have experience with or interest in:
Data science, statistics, machine learning and other applied mathematics
Data lake implementation and support
GraphQL
DynamoDB or RDS
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.
Responsibilities :
You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.
You will:
Design, build and deliver high-quality data and software tools and solutions
Collaborate with other software engineers and cross-functional teams
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate:
An educational background that has enabled your trajectory in technology. Surprise us!
2+ years of professional software experience
Expertise in data analysis and database engineering
Experience in agile software development process
Smart, motivated, and curious about both the technology and the business
Able to demonstrate working knowledge of some:
Java/JVM, Python, SQL, R, Scala
Apache Spark & associated tooling
Data science notebooks (Databricks, Jupyter)
Git, Github, Gitlab
AWS, Terraform
Docker, Kubernetes, Helm
Job Schedulers (Azkaban/Airflow)
Test-driven development
Preferred Qualifications:
It would be cool if you knew and could teach people about:
R, Scala
Kafka, KStreams, KSQL
GraphQL
RDS, DynamoDB
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.
Responsibilities :
You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.
You will:
Design, build and deliver high-quality data and software tools and solutions
Collaborate with other software engineers and cross-functional teams
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate:
An educational background that has enabled your trajectory in technology. Surprise us!
2+ years of professional software experience
Expertise in data analysis and database engineering
Experience in agile software development process
Smart, motivated, and curious about both the technology and the business
Able to demonstrate working knowledge of some:
Java/JVM, Python, SQL, R, Scala
Apache Spark & associated tooling
Data science notebooks (Databricks, Jupyter)
Git, Github, Gitlab
AWS, Terraform
Docker, Kubernetes, Helm
Job Schedulers (Azkaban/Airflow)
Test-driven development
Preferred Qualifications:
It would be cool if you knew and could teach people about:
R, Scala
Kafka, KStreams, KSQL
GraphQL
RDS, DynamoDB
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications:
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Jul 29, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications:
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios.
This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wants to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities:
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications:
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education:
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Jul 29, 2019
Full-time
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios.
This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wants to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities:
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications:
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education:
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
