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
Your qualifications and skills
- Master's degree in computer science, engineering or mathematics, or equivalent experience
- 5+ 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.)