WHAT YOU’LL DO
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise.
This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
In this role you will:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Solve complex data problems to deliver insights that helps our business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
WHO YOU ARE
Bachelor’s Degree
5 years of experience working in data engineering or architecture role
Expertise in SQL and data analysis and experience with at least one programming language
Experience developing and maintaining data warehouses in big data solutions
Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Passion for agile software processes, data-driven development, reliability, and experimentation
Experience working on a collaborative agile product team
Excellent communication, listening, and influencing skills
WHAT’S NICE TO HAVE
Bachelor’s degree in Computer Science, MIS, or Engineering
7+ years applicable work experience
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
Experience in Python or Scala
Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
Familiarity with the Linux operating system
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
Nov 26, 2019
Full-time
WHAT YOU’LL DO
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise.
This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
In this role you will:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Solve complex data problems to deliver insights that helps our business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
WHO YOU ARE
Bachelor’s Degree
5 years of experience working in data engineering or architecture role
Expertise in SQL and data analysis and experience with at least one programming language
Experience developing and maintaining data warehouses in big data solutions
Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Passion for agile software processes, data-driven development, reliability, and experimentation
Experience working on a collaborative agile product team
Excellent communication, listening, and influencing skills
WHAT’S NICE TO HAVE
Bachelor’s degree in Computer Science, MIS, or Engineering
7+ years applicable work experience
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
Experience in Python or Scala
Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
Familiarity with the Linux operating system
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
WHAT YOU’LL DO:
In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.
In this role, you will:
Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools
Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space
Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
Engineer new features by using your business acumen to find new ways to combine disparate data sources
Collaborate, coach, and learn with a growing team of experienced Data Scientists
Stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication & collaboration skills to understand business partner needs & deliver solutions
Bias for action, with ability to deliver outstanding results through task prioritization & time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Experience in digital marketing environment e.g. ad servers, web analytics, bid management
Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization
Experience working in business to consumer marketing
Experience using data to tell a story and influence business decision makers
Nov 26, 2019
Full-time
WHAT YOU’LL DO:
In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.
In this role, you will:
Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools
Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space
Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
Engineer new features by using your business acumen to find new ways to combine disparate data sources
Collaborate, coach, and learn with a growing team of experienced Data Scientists
Stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication & collaboration skills to understand business partner needs & deliver solutions
Bias for action, with ability to deliver outstanding results through task prioritization & time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Experience in digital marketing environment e.g. ad servers, web analytics, bid management
Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization
Experience working in business to consumer marketing
Experience using data to tell a story and influence business decision makers
WHAT YOU’LL DO:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services.
You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
In this role, you will:
collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach
advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature
lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
engineer new features by using your business acumen to find new ways to combine disparate data sources
love to collaborate, coach and learn with a growing team of experienced Data Scientists
stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Nov 26, 2019
Full-time
WHAT YOU’LL DO:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services.
You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
In this role, you will:
collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach
advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature
lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
engineer new features by using your business acumen to find new ways to combine disparate data sources
love to collaborate, coach and learn with a growing team of experienced Data Scientists
stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.
This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles.
Who is Equifax?
Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally.
Responsibilities:
Develop and execute training strategy globally on new modelling approaches, innovations, data assets, modelling applications and processes
Requires specialized depth and/or breadth of expertise to operate independently
Communicates difficult concepts and influences others to adopt a different point of view
Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed
Be the experienced practitioner on machine learning that others look to for guidance and education.
Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily
Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Curate existing content from various sources like universities, commercial content providers, and publicly available material
Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended)
Position Requirements:
Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering
7+ years’ modelling and analytics experience in the financial services area
Experience developing models and scores with applications in risk and marketing
Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others
Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning
Ability to collaborate as a team player in a matrix organization
Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers
The Perks of being an Equifax Employee?
We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
To speak to us about this role in more detail apply online.
Nov 21, 2019
Full-time
The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.
This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles.
Who is Equifax?
Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally.
Responsibilities:
Develop and execute training strategy globally on new modelling approaches, innovations, data assets, modelling applications and processes
Requires specialized depth and/or breadth of expertise to operate independently
Communicates difficult concepts and influences others to adopt a different point of view
Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed
Be the experienced practitioner on machine learning that others look to for guidance and education.
Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily
Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Curate existing content from various sources like universities, commercial content providers, and publicly available material
Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended)
Position Requirements:
Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering
7+ years’ modelling and analytics experience in the financial services area
Experience developing models and scores with applications in risk and marketing
Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others
Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning
Ability to collaborate as a team player in a matrix organization
Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers
The Perks of being an Equifax Employee?
We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
To speak to us about this role in more detail apply online.
Biostatistician responsibilities include, but are not limited to, the following:
Performs data analysis and statistical evaluations
Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing
Ensures the statistical validity of study activities by solving problems occurring in the data collection process
Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied
Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies
Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC)
The ideal candidate would possess:
Knowledge of SAS, SATA, and R statistical software packages
Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression
Strong computer, scientific, and organizational skills
Excellent communication (oral and written) and attention to detail
Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude
Basic Minimum Qualifications:
Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field
At least 2 years’ experience analyzing and interpreting biostatistical data
Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of Melville, New York are encouraged to apply.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.
Oct 23, 2019
Full-time
Biostatistician responsibilities include, but are not limited to, the following:
Performs data analysis and statistical evaluations
Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing
Ensures the statistical validity of study activities by solving problems occurring in the data collection process
Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied
Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies
Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC)
The ideal candidate would possess:
Knowledge of SAS, SATA, and R statistical software packages
Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression
Strong computer, scientific, and organizational skills
Excellent communication (oral and written) and attention to detail
Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude
Basic Minimum Qualifications:
Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field
At least 2 years’ experience analyzing and interpreting biostatistical data
Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of Melville, New York are encouraged to apply.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.