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

Skills

Data Science, Data Scientist, Machine Learning, Statistics, Data Warehousing, Tableau, Power BI, Data Visualization, Statistical Modeling, Python, Data Analytics