Data Scientist II

Job Description

Data Scientist II 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

Keyskills :
machine learningpython data analysissql analyticsbias for action community of practiceexploratory data analysis