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.

JOB REQUIREMENTS

Education and Certifications

• Bachelor's / Master's 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