General Mills | Jobs | Data Scientist-III | BigDataKB.com | 05-02-22

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    Job Location: Mumbai

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    India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success.

    Job Description:

    Job Overview
    General Mills is seeking a Data Scientist to join the Data Science and Analytic Engineering team (DSAS) in the Enterprise Data Capabilities function that is tasked with collaborating and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
    Responsibilities
    Develop novel ways to help business partners achieve objectives through analysis & modelling

    • Think outside the box to identify & test new sources of information that unlock new business value
    • Recommend business solutions on the allocated project / analytic initiatives / POC
    • Curate and connect external data sets for broad enterprise-wide analytic usage
    • Be a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teams
    • Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results
    • Utilize machine learning to create repeatable, dynamic & scalable models
    • Have passion to advocate and educate on the value and importance of data driven decision making & analytical methods
    • Identify and develop long-term data science processes, frameworks, tools, and standards
    • Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists

    Consultation

    • Collaborates with technical teams like development and infrastructure.
    • Able to explore, troubleshoot on niche technologies and provide automation solutions
    • Experienced in proposing ROI based solutions to business

    Leadership

    • Mentors capstone/intern projects and connects with external institutes/analytic schools
    • Lead selection of right Jr candidates for the team
    Qualifications
    Education
    Minimum Degree Requirements: Bachelors
    Preferred Major Area of Study Computer Information / Computer Science
    Min Preferred Professional Certifications Data Science / Mathematics / Statistics
    Experience
    Minimum years of related experience required: 3 years
    Preferred years of experience: 5 years

    Specific Job Experience or Skills Needed

    Experience in basic statistical analysis, modelling, clustering and data mining techniques to identify trends and insights. Understanding / experience of CPG industry is desiable.
    Mathematical or statistical background required

    • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
    • Understanding of data warehousing & databases is critical
    • Number sense, ability to identify questionable data, dig in & address it
    • Experience with Hadoop, Hive, and/or Spark a plus
    • Bias for action with ability to deliver outstanding results through task prioritization & time management
    • Exemplary organizational skills with attention to detail & accuracy
    • Experience with machine learning
    • Experience with data visualization tools
    • Experience writing complex SQL queries

    Skill Name

    Mandatory

    Expert

    Intermediate

    Basic

    Comments

    Databases
    Yes
    Yes
    SQL, Oracle, Any RDBMS
    Yes
    Yes
    Should have working knowledge of atleast one database
    Hadoop – Hive, Impala
    Yes
    Yes
    PL/SQL
    Yes
    Yes

    Programming Languages
    R, Python
    Yes
    Yes
    Python preferred

    Inferential Statistics
    Yes
    Yes
    Hypothesis, p-value, R2, RMSE, MAPE etc

    Exploratory Data Analysis
    Yes
    Yes

    Machine Learning Algorithms
    Yes
    Yes
    Basic Algorithms
    Yes
    Should have in-depth knowledge and implementation of atleast one class of algorithms
    Deep Learning
    No
    Yes
    Knowledge would be a plus
    Visualization
    Tableau, Spotfire, BI
    Yes
    Yes
    We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

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