Senior Data Scientist

You connect the dots -

• Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements
• Build data and visualization tools for Business analytics to assist them in decision making

You are a collaborator -

• Work closely with Division Analytics team leads
• Work with data and analytics specialists across functions to drive data solutions

You are an innovator -

• Identify, design, and implement new algorithms, process improvements : while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Qualifications

What you'll need

• BE / BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics
• 5+ years of experience in building data models and driving insights
• Hands-on / experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.
• Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR
• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run.
• Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms
• Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql
• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

What you'll need (Preferred)

• Managing, transforming, and developing statistical models for RGM / Pricing and / or Marketing Effectiveness
• Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
• Working knowledge of consumer packaged goods industry
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks.
• Experience visualizing / presenting data for partners using : Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc
• Willingness and ability to experiment with new tools and techniques
• Ability to maintain personal composure and thoughtfully handle difficult situations.
• Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc)

Skills Required

Predictive Modeling, Machine Learning, Business Analytics, Sql, Domo