- Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum
- Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases
- Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business
- Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built
- Deploys models using Airflow, Docker on Google Cloud Platforms
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
- 3+ 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)
