Job Description
QUALIFICATIONS
- Bachelor’s degree in computer science, engineering or mathematics, or equivalent experience
- 3+ years of relevant experience with strong foundations of statistics and machine learning techniques
- Proven experience applying machine learning techniques to solve business problems
- Proven experience in translating technical methods to non-technical stakeholder
- Proven experience writing production-grade code (Python / Pyspark) for machine learning in a professional setting
- Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow)
- Experience in any cloud platforms (AWS, Azure, or GCP)
- Familiarity with containerization technologies (Docker, Docker-compose)
- Experience with Git-based workflows and automation frameworks, specifically GitHub Actions and GitLab CI/CD
- Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)
WHO YOU'LL WORK WITH
You will be based in one of our offices in Bengaluru or Gurugram as part of our Growth, Marketing & Sales practice.
The Growth, Marketing & Sales practice strives to help client in both consumer and business-to-business environments on a wide variety of marketing and sales topics.
The mission of this practice is to help clients achieve marketing-driven profit growth.
Our clients benefit from our experience in core areas of marketing such as customer insights, marketing ROI, digital marketing, CLM pricing, and sales and channel management.
WHAT YOU'LL DO
You will also be responsible for developing deep Retail domain understanding in at least one of the following areas –Customer Analytics, Pricing Optimization, Inventory Management, E-commerce, or Digital Transformation.
Collaboration with business stakeholders, engineers and internal teams to build and implement extraordinary retail focused data products (reusable asset) and solutions and delivering them right to the client will be of utmost importance.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact.
You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including E-commerce, Grocery, F&B and CPG
