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

- Solid 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)

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