Job Location: Mumbai
:
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
Skill Name
Mandatory
Expert
Intermediate
Basic
Comments
Databases
Programming Languages
Inferential Statistics
Exploratory Data Analysis
Machine Learning Algorithms
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
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
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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