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.

Work arrangement
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