Job description
POSITION 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 deep expertise in statistical modelling, machine learning and data engineering with a strong understanding of enterprise data ecosystems, particularly SAP ECC and SAP HANA and work closely with cross-functional teams to extract, transform, and analyze structured and unstructured data from SAP and non-SAP systems, delivering actionable insights and predictive solutions.
Requirements
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
- SAP Certified Application Associate – SAP HANA (desirable) Relevant Experience
- 10–12 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
- Hands-on experience working with SAP ECC and SAP HANA data models, tables, and integration layers Leadership Experience
- 3-4 years of experience in leading a team on data science, advanced analytics preferably within a GCC setup Must – to
- Have Skills
- Excellent programming skills in Python, R and SQL ((knowledge of writing end-to-end ML or data pipelines in python)
- Hands-on experience in machine learning, predictive modelling, time-series forecasting and optimization algorithms
- Deep understanding of SAP ECC/HANA data structures, including modules like MM, SD, FI, and BW
- Experience with data extraction from SAP using CDS Views, OData, RFCs or SAP Data Services
- Proficiency in data wrangling, feature engineering, and model deployment using tools like Databricks
- Familiarity with version control (Git) and CI/CD pipelines Good – to – Have Skills
- Experience with SAP BTP (Business Technology Platform) and SAP AI Core
- Exposure to deep learning frameworks (Tensor. Flow, Py. Torch)
- Experience working in Agile/Scrum environments ROLES & RESPONSIBILITIES Strategy and Planning
- Define and drive the data science roadmap aligned with business and digital transformation goals
- Identify high-impact analytics opportunities across domains
- Collaborate with enterprise architects and SAP teams to align data science initiatives with SAP data models and infrastructure
- Working with leadership to create project plan, and design analytics roadmap Delivery and Execution
- End to end development of AI/ML models
- Build scalable data pipelines and model training workflows using SAP and cloud-native tools
- Translate complex business problems into analytical frameworks and deliver measurable outcomes
- Ensure model interpretability, performance monitoring and continuous improvement Support and Enablement
- Collaborate with SAP functional and technical teams to ensure seamless data integration and model consumption
- Provide technical guidance on data extraction from SAP ECC/HANA and integration with data lakes or cloud platforms
- Develop reusable components, templates, and best practices for analytics delivery People Leadership
- Foster a culture of innovation, experimentation and continuous learning
- Lead knowledge-sharing sessions and contribute to the development of internal data science communities
- Collaborate with global teams to scale solutions and share best practices across regions Benefits WHAT WE OFFER
- Be part of a globally recognized leader in the home improvement sector, committed to operational excellence and sustainability
- Opportunity to contribute to a rapidly expanding Global Capability Center (GCC) in Chennai, playing a vital role in global operations
- Exposure to diverse global technology environment and cross-functional team collaborations
- Competitive compensation package and comprehensive benefits
- Clear pathways for career advancement and continuous learning opportunities within a high-performance organization