General Mills
Minneapolis, MN, USA
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
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
General Mills
Minneapolis, MN, USA
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:
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
General Mills
Minneapolis, MN, USA
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.
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.