Job Location: Mumbai
Roles and Responsibilities
Job Overview
We are 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 in the organization.
Responsibilities
โข Develop novel ways to help business partners achieve objectives through analysis & modelling
โข Think outside the box to identify & test new sources of information that unlock new business value
โข Curate and connect external data sets for broad enterprise-wide analytic usage
โข Be a storyteller to explain the โwhy & howโ of your data driven recommendations to cross-functional teams
โข Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results
โข Utilize machine learning to create repeatable, dynamic & scalable models
โข Have passion to advocate and educate on the value and importance of data driven decision making & analytical methods
โข Identify and develop long-term data science processes, frameworks, tools, and standards
โข Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists
Consultation
โข Collaborates with technical teams like development and infrastructure.
โข Able to explore, troubleshoot on niche technologies and provide automation solutions
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
โข Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
โข Understanding of data warehousing & databases is critical
โข Number sense, ability to identify questionable data, dig in & address it
โข Experience with Hadoop, Hive, and/or Spark a plus
โข Bias for action with ability to deliver outstanding results through task prioritization & time management
โข Exemplary organizational skills with attention to detail & accuracy
โข Experience with machine learning
โข Experience with data visualization tools
โข 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
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