Senior Data Scientist

Job Title: Senior Data Scientist

· Location: Mumbai

· Required experience range: 5-6 Years

Purpose of hiring:

The Senior Data Scientist will be responsible for designing, developing, and deploying

advanced data science and GenAI solutions across key business functions such as Operations,

Pricing, and Sales.

This role requires close collaboration with business stakeholders to deeply understand

challenges, translate them into scalable AI/ML and GenAI solutions, and drive end-to-end

execution—from problem framing and model development to deployment and continuous

monitoring in production environments.

The individual will also play a key role in mentoring junior data scientists, ensuring best

practices in model development, and fostering a culture of innovation and technical excellence.

Additionally, the role involves measuring business impact, communicating insights effectively,

and demonstrating tangible value delivered through AI-driven initiatives.

Roles & Responsibilities:

Cross-Functional Collaboration: Partner with business, operations, pricing, and sales

teams to identify and prioritize high-impact opportunities for ML, AI, and GenAI-driven solutions.

End-to-End Project Ownership: Lead data science initiatives from problem definition and

ideation through development, deployment, and business adoption, ensuring timely and high-

quality delivery.

Solution Architecture: Design scalable, robust, and production-ready ML and GenAI

solutions aligned with business objectives, with a strong focus on measurable impact and ROI.

Hands-On Model Development: Build, validate, and optimize machine learning and AI

models using state-of-the-art techniques, ensuring adherence to best practices in model

development and experimentation.

Stakeholder Communication: Translate complex analytical outputs into clear, actionable

insights and present recommendations effectively to senior stakeholders and leadership teams.

Deployment & Integration: Collaborate with data engineering and platform teams to

operationalize models and integrate AI solutions seamlessly into business workflows and

systems.

Performance Monitoring & Optimization: Establish monitoring frameworks to track model

performance, ensure reliability, and drive continuous improvement through retraining and

refinement.

Mentorship & Team Leadership: Mentor and guide junior data scientists and analysts,

fostering technical excellence, structured problem-solving, and a culture of continuous learning.

DESIRED CANDIDATE PROFILE:

Educational Background: Bachelor's or Master's degree in Computer Science,

Engineering, Mathematics, or a related field (BE/BTech/MSc/MTech/PhD), with 5–6 years of

relevant experience in Data Science, Machine Learning, and AI/GenAI solution development.

Technical Proficiency: Strong programming skills in Python and SQL, with hands-on

experience in building end-to-end data science solutions. Familiarity with modern ML

frameworks and libraries is expected.

AI/ML & GenAI Expertise:

Proven experience across Machine Learning, Deep Learning,

and Generative AI, with a strong track record of translating business problems into scalable,

real-world AI solutions.

Cloud &Data Engineering Skills:

Practical experience with cloud platforms (preferably

AWS), along with exposure to big data technologies such as Spark. Working knowledge of

scalable data pipelines and MLOps practices is a plus.

Data Management & Databases: Strong understanding of structured and unstructured

data, with hands-on experience in SQL and NoSQL databases, and efficient data processing

and retrieval techniques.

Analytical & Problem-Solving Skills:

Strong analytical thinking with the ability to break

down complex problems, apply structured approaches, and deliver innovative, data-driven

solutions.

Communication& ; Stakeholder Management:

Excellent communication and storytelling

skills, with the ability to translate complex technical concepts into clear business insights for

both technical and non-technical stakeholders.