Role & responsibilities

- Develop and deploy machine learning models using Vertex AI and Python, ensuring scalability and performance in production environments

- Design and implement data pipelines on GCP (e.g., BigQuery, Dataflow) to support real-time and batch analytics.

- Translate complex business problems into analytical frameworks and deliver measurable outcomes

- Perform exploratory data analysis and statistical modelling to uncover insights and support business decision-making

- Build dashboards and visualizations to present findings clearly using tools like Tableau, Power BI or Python-based libraries

- Provide technical guidance on data extraction from Enterprise Data Warehouse and integration with data lakes or cloud platforms

- Develop reusable components, templates, and best practices for analytics delivery

- Maintain and optimize data workflows in Snowflake, ensuring data quality, consistency and accessibility

- Support model monitoring and retraining processes to ensure continued accuracy and relevance of deployed solutions

Preferred candidate profile

- 4 -10 years of experience in data science, advanced analytics, or applied machine learning roles





- Proven experience in leading end-to-end data science projects in large-scale enterprise environments

- Experience in interacting with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery

- Excellent programming skills in Python and SQL, with proven ability to develop and maintain end-to-end machine learning and data pipelines

- Experience with data extraction from Enterprise Data Warehouse

- Proficient in data visualization using Tableau, Power BI or Python libraries (e.g., Matplotlib, Seaborn, Plotly) to deliver explicit, actionable insights

- Skilled in statistical modelling including regression, hypothesis testing, time series analysis and clustering with the ability to interpret and present findings effectively

- Experience in Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage and Dataflow for scalable data processing and analytics

- Working knowledge of Snowflake for cloud-based data warehousing, including writing efficient SQL queries and integrating with data pipelines

📌 Data Scientist (Chennai)
🏢 HD Supply
📍 Chennai