Data Scientist

Role Overview:

As a Data Scientist, you will be responsible for driving advanced analytics initiatives, developing scalable machine learning models and enabling data-driven decision-making across business functions for HDS India.

The ideal candidate will have expertise in visualization, statistical modelling and data engineering with a strong understanding of enterprise data ecosystems and work closely with cross-functional teams to extract, transform and analyze structured / unstructured data, delivering actionable insights and predictive solutions.

Education and Certifications:

- Bachelors / Masters degree in computer science, data science, statistics or a related quantitative field

- Certifications in machine learning / deep learning / data structures will be an added advantage

Required Experience:

- 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

Essential Skills:

- 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 clear, 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

Desired Skills:

- Experience with Vertex AI for building, training, and deploying machine learning models in a production environment

- Experience working in Agile/Scrum environments

Roles & Responsibilities:

Delivery and Execution:

- 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

Support and Enablement:

- 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