Data Scientist

Who are you…

You are a function expert -

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

You connect the dots -

1. 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
2. Assemble large, sophisticated data sets that meet functional / non-functional business requirements
3. Build data and visualization tools for Business analytics to assist them in decision making

You are a collaborator -

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

You are an innovator -

1. 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

1. 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
2. 5+ years of experience in building data models and driving insights
3. 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.
4. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR
5. Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run.
6. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms
7. Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql
8. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

What you’ll need…(Preferred)

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