[Remote_CTV] Senior Data Scientist

Scope of work

A Senior Data Scientist designs and implements end-to-end ML/AI solutions, from exploratory analysis and feature engineering to production deployment. They collaborate cross-functionally with Engineering and Product teams to translate business problems into data-driven models, run experiments, and continuously monitor model performance. The role also includes mentoring junior team members and contributing to internal ML best practices

Recruitment

Key Skills & Experience

ML and Predictive analytics:

• Expertise Proven experience in developing end to end ML models using a range of algorithms like traditional ML, time series, and deep learning models.

Business Problem Solving:

• Strong business understanding and acumen with the ability to translate complex business problems into effective AI/DS solutions and deliver measurable impact.

Technical Proficiency:

• Excellent command of Python and PySpark is mandatory, with strong experience in production‑grade model development.

Communication & Collaboration:

• Effective verbal and written communication skills, with the ability to clearly explain complex technical concepts to business and technical stakeholders.

GenAI Capabilities (Plus):

• Experience using vibe coding for efficiency and productivity gains.
• Experience in Agentic AI usage for building modules like EDA Agent, Insights Agent, Model Monitoring Agent etc…

Domain Experience (Plus):

• Prior experience in the healthcare domain is highly desirable.
• Overall Experience
• 7+ years of overall experience in data science / AI roles.