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
Robust academic or qualified 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 Skilled
Dtabricks ML Practitioner
Axure Data Scientist (DP-100)
Tensorflow Developer
Responsible AI ( Microsoft/edX)

Location: Bengaluru

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Isc Data Scientist Bengaluru
🏢 Becton Dickinson
📍 Bengaluru