Job highlights

- Experience:- 7+ Years. Work Mode- . 4 Days WFO
- Positive to Have: GCP - AutoML,BigqueryML,Dataproc,VertexAI
- AzureML
- AWS Sagemaker

Role- Lead Data Scientist Experience:- 7+ Years

Work Mode- 4 Days WFO

Skill Set

Mandatory: Classical ML and Data Science | Python, PySpark and SQL for ML on Big Data | ML Operationalization

Good to Have: GCP - AutoML, BigqueryML, Dataproc, VertexAI | AzureML | AWS Sagemaker

Key Responsibilities

- Leadership & Strategy
- Lead and mentor a team of data scientists, promoting technical excellence and continuous learning.
- Define and execute the data science roadmap in alignment with business goals.
- Collaborate with executives and stakeholders to identify high-impact data opportunities.

- Modeling & Analytics

- Design, develop, and deploy predictive and prescriptive models using machine learning, statistical modeling, and deep learning.
- Drive experimentation (e.g., A/B testing), causal inference,



and optimization projects.
- Ensure models are scalable, interpretable, and maintainable in production environments.

- Collaboration

- Work cross-functionally with engineering, product, marketing, and operations teams to implement data-driven initiatives.
- Communicate complex findings in a clear and concise manner to non-technical stakeholders.

- Innovation

- Stay current with the latest developments in AI/ML and data science.
- Evaluate and integrate new tools, technologies, and methodologies as needed.

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.

📌 Lead Data Scientist (Hubballi)
🏢 Envision Technology Solutions
📍 Hubballi