Data Scientist II

Job Number: 12900
Location(s): Mumbai, Maharashtra

Overview & Responsibilities

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.

Job 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

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
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

Deep Learning No No Knowledge would be a plus

Visualization
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

Qualifications

Overview & Responsibilities

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.

Job 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

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
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

Deep Learning No No Knowledge would be a plus

Visualization
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

Qualifications

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