January 31, 2022
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Mumbai, Maharashtra, India
January 31, 2022
Apply NowJob description
:
Responsibilities
Education
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
Databases Yes
SQL, Oracle, Any RDBMS Yes Yes Should have working knowledge of atleast one database
Hadoop - Hive, Impala No Only Know how
PL/SQL Yes Yes
Programming Languages
R, Python Yes (Any One) Yes
Inferential Statistics Yes Yes Hypothesis, p-value, R2, RMSE, MAPE etc
Soft Skills
Story telling
Ability to understand business use case and convert into data science parlance
Ability to explain model output to business and why should they trust in the model
Company Overview:
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 a new data science team in the Global Business Solutions (shared services organization) that is tasked with collaborating with 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.
General Mills is seeking a Data Scientist to join a new data science team in the Global Business Solutions (shared services organization) that is tasked with collaborating with 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
- 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
Education
Minimum Degree Requirements: Bachelors
Preferred Major Area of Study Computer Information / Computer Science
Min Preferred Professional Certifications Data Science / Mathematics / Statistics
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
Databases Yes
SQL, Oracle, Any RDBMS Yes Yes Should have working knowledge of atleast one database
Hadoop - Hive, Impala No Only Know how
PL/SQL Yes Yes
Programming Languages
R, Python Yes (Any One) Yes
Inferential Statistics Yes Yes Hypothesis, p-value, R2, RMSE, MAPE etc
Exploratory Data Analysis Yes Yes
Machine Learning Algorithms Yes Yes
Any one algo Yes Should have in-depth knowledge and implementation of atleast one algorithm
Any one algo Yes Should have in-depth knowledge and implementation of atleast one algorithm
Deep Learning No No Knowledge would be a plus
Visualization
Tableau, Spotfire, BI No Yes Knowledge would be a plus
Tableau, Spotfire, BI No Yes Knowledge would be a plus
Soft Skills
Story telling
Ability to understand business use case and convert into data science parlance
Ability to explain model output to business and why should they trust in the model
Company Overview:
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.
