Job Description Summary

The Data Scientist designs, builds, and operationalizes advanced analytics and machine learning models that enable predictive and prescriptive decision‑making across BD’s supply chain and business operations. This role combines strong statistical foundations with hands‑on engineering and close collaboration with product and business teams.

Job Description

Key Responsibilities

• Frame business problems into analytical and machine learning use cases.

• Engineer features and develop predictive and prescriptive models.

• Train, evaluate, validate, and deploy models for production use.

• Monitor model performance, drift, and retraining needs.

• Collaborate with Data Engineers and MLOps to ensure scalable deployments.

• Automate ML workflows (CI/CD) and manage Mlflow registry

• Ensure compliance with data governance, ethical AI, and responsible AI standards.

• Communicate insights, assumptions, and outcomes to business stakeholders.

Working Relationships

• Partners with Data Engineers, Data/AI Product Owners, Business Product Owners and Legal/Compliance Teams

Technical Skill Requirements

Experience Required- 4- 9 Years

• Statistics, machine learning, and optimization techniques

• Python, SQL, and distributed data processing

• Feature engineering and model lifecycle management

• Model monitoring, drift detection, and retraining

• MLOps and CI/CD for analytics solutions

• Responsible and ethical AI practices

Required Qualifications

• Strong academic or professional background in data science, statistics, or applied mathematics. Master’s Degree preferred with at least 3 years of work experience.

• Proven experience building and deploying ML models in production environments.

• Experience and knowledge of ERP, SAP systems and APS

• Experience working in cross‑functional, product‑oriented teams.

Skills & Proficiency Targets

•Feature Engineering (Deltra/Feature Store) – Expert

•Mlflow Experiments/Registry – Expert

•Model Monitoring & Drift – Expert

•Serving (Batch/Real-time)- Proficient

•Statistics & ML – Working

•Python/SQL/Spark – Proficient

•ML Ops on Databricks – Proficient

•Responsible AI – Working

Databricks Academy / Learning Paths

•ML Practitioner/ Learning Path

• Feature Engineering & Feature Store

• Mlflow Experiments & Model Registry

• Serving & Monitoring on Databricks

Recommended Certifications

• Databricks Machine Learning Professional

• Dtabricks ML Practitioner

• Axure Data Scientist (DP-100)

• Tensorflow Developer

• Responsible AI ( Microsoft/edX)

Required Skills

Optional Skills

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Primary Work Location

IND Bengaluru - Technology Campus

Additional Locations

Work Shift