ポジションについて
- 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 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 Platform Cloud Platform Yes Nice to have Soft Skills Yes Yes Story Telling Yes Yes Stakeholder Mgmt. Yes Yes Independent interaction on the work done with business owner. Self-organizing, task and priority management Yes 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.
福利厚生
•401k
•有給休暇
•Learning Budget
必須スキル
Data analysis
Reporting
Stakeholder management
General Millsについて
Mumbai-SPECTRA
本社所在地