Data Scientist III in Mumbai Outside of U.S./Canada

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General Mills
Title: 
Data Scientist III
Date: 
07/01/2020
Job ID: 
9844
Location: 
Mumbai Outside of U.S./Canada
Degree: 
Not Specified
Salary: 
Not Specified
Job Types:
Business Analyst, Database Administrator
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Overview & Responsibilities
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

  • 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 &##39;why & how&##39; 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

Qualifications
Qualification: Any Graduate (Preferred Statistical background)
Experience - 6+ yrs

  • Statistical analysis, modeling, clustering and data mining techniques to identify trends and insights
  • 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 a plus
  • Experience with data visualization tools
  • Experience writing complex SQL queries
  • Experience with Python & R, comfortable working with DataFrames
  • Strong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs

Overview & Responsibilities
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

  • 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 &##39;why & how&##39; 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

Qualifications

Qualification: Any Graduate (Preferred Statistical background)

Experience - 6+ yrs

  • Statistical analysis, modeling, clustering and data mining techniques to identify trends and insights
  • 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 a plus
  • Experience with data visualization tools
  • Experience writing complex SQL queries
  • Experience with Python & R, comfortable working with DataFrames
  • Strong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs

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