6 jobs found

We’re passionate about food and driven by data. Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact. General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the world’s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo. WHAT YOU’LL DO: AI Governance aims to realize organizational value through focusing on effective and efficient analytic process to build & usage of analytic capabilities & solutions. It focuses on the process of consuming & deriving insights from data rather than the creation and storage of data. The AI Governance role drives discovery, execution and standards around operational analytic governance. The AI governance role will provide leadership, strategic decision making and guidance within analytic governance included partnering with the technical executional resource to understand and solve unique and complex problems as well as partnering with the broader organization to ensure best practice sharing & adherence of standards. You will interface with the Global Data Governance organization to ensure consistency across Data & Analytic Governance where applicable as well as have a stance on the appropriate technologies to support Analytic Governance to realize our technical & commercial teams’ needs. In this role, you will: Design end to end analytic framework, including overall architecture, capabilities, platforms, tools & governing processes Establish & define metrics around gauging analytic health of organization Consult & communicate positioning/go-forward strategies for analytic governance tools/capabilities Communicate governance standards & framework to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Define/improve governance best practices, guidelines & integration with enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Monitor technology trends & participates in discovery of any new tools/capabilities of interest Benchmark Analytic Governance with Industry analysts and other companies Lead Analytic Governance committee/steering team to ensure cross-functional exposure & adherence WHO YOU ARE: Bachelor’s degree 10 years demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5 or more years in an Analytic Governance role process-mapping, detailed frameworks, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating roadmaps & process diagrams Hands-on experience working with enterprise scale data projects including Big Data, Data Science & BI Reporting Experience in Agile Development, with specific Solution Architect preferred (understanding of end-to-end implementation of a technology Solution) Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Strong communication skills with ability to communicate complex technical concepts in a digestible way Ability to effortlessly switch gears from summary view for leadership to hands-on discussion with practitioners WHAT’S NICE TO HAVE: Cloud analytics platform experience preferred Six sigma certification preferred

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

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 Office of the Insurance Commissioner's (OIC) Provider Network Unit is seeking motivated and qualified individual to fill a  Provider Network Analyst  (Functional Program Analyst 3 (FPA3)) position in our  Tumwater  office. Within the Rates and Forms Division, the Provider Network Oversight Program is composed of two units: The Provider Contracting Unit and The Provider Network Unit How would you like to be a member of a newly developed team that ensures the quality of healthcare provider networks working to protect Washington State residents? We are recruiting for the members of our newest team in our Provider Network Unit. The team will perform analytical reviews and evaluations of healthcare provider networks to determine whether healthcare practitioners, facilities, and clinics can fulfill the contractual obligation of insurance contracts. To be a successful candidate for this position you will need to have a strong background in data mining, Excel, Microsoft Power BI or GIS skills and a willingness to learn. If you are a person who loves to organize and spin data and numbers, build reports, please consider applying for our Provider Network Analyst (FPA3) position. This recruitment may be used to establish a qualified pool of candidates for future FPA3 vacancies within the Provider Network Oversight Program in the next six months. This recruitment is open until filled, with an initial screening date of January 15, 2020. In order to be considered for the initial screening, please submit an application on or before January 14, 2020. The agency reserves the right to make an appointment any time after the initial screening date.

The Office of the Insurance Commissioner's (OIC) Provider Network Oversight Program is seeking a motivated and qualified individual to fill a supervisor position in a newly created unit, the Provider Network Unit. This  Senior Provider Network Analyst  (Functional Program Analyst 4) position is located in our  Tumwater, WA  office.   Within the Rates and Forms Division, the Provider Network Oversight Program is composed of two units:  The Provider Contracting Unit (an existing function) and The Provider Network  Unit (a newly created, separate unit) Under your supervision, the team will be responsible for the oversight of analytical reviews and evaluations of healthcare provider networks. They will determine if the provider networks can fulfill the contractual obligation of the insurance contracts. To be a successful candidate for this position you will need to have a strong background in data mining, Excel, Microsoft Power BI or GIS skills and a willingness to learn.   If you are a person who loves to organize and spin data and numbers, build reports, and have a strong desire to mentor and develop others, please consider applying for our Senior Provider Network Analyst (FPA4) position. To view the entire position description, please click the "Apply Now" button on this page. This position is open until filled, with an initial screening date of January 15, 2020. In order to be considered for initial screening, please submit an application on or before January 14, 2020. The agency reserves the right to make an appointment any time after the initial screening date.