Senior Data Scientist

About the Role

This position is for a senior-level data scientist who can combine strong technical depth with practical execution and leadership. The role calls for someone who can approach problems from first principles, build solutions for difficult, high-scale challenges, and contribute directly to business outcomes.

You will support a major global ecommerce platform operating at very large scale with strict latency needs and broad business impact. The work goes beyond model building; it involves defining the problem, guiding solution design, and helping shape product and business direction through data insights.

Your main area of focus will be intelligent decisioning systems across important ecommerce flows such as order management, checkout, order selection, and tracking.

Key Responsibilities

• Tackle complex, high-impact problems such as checkout optimization, smart routing, order selection efficiency, and system latency using data-led methods.
• Develop and deploy machine learning and AI systems that are ready for production use.
• Create predictive models and agentic AI workflows.
• Work with very large datasets and extract meaningful patterns.
• Perform exploratory data analysis and present findings clearly through storytelling with data.
• Partner with stakeholders across global teams.
• Guide and mentor other team members.

Requirements

• 7 to 10 years of experience in data science or machine learning, with a track record of delivering production-grade solutions independently.
• Proven ability to build scalable systems that go beyond experimentation and notebooks.
• Strong understanding of data pipelines, model lifecycle management, and performance tuning.
• Deep knowledge of supervised and unsupervised learning.
• Hands-on expertise in deep learning, natural language processing, and recommendation systems.
• Solid grasp of statistics, including A/B testing, hypothesis testing, and causal inference.
• Strong production Python skills, with practical use of PyTorch, TensorFlow, Scikit-learn, and NumPy.
• Comfort working with distributed data systems and tools such as Spark, Snowflake, and Beam.
• Ability to turn vague business problems into structured, data-driven solutions.
• Experience influencing stakeholders and mentoring others without depending on formal authority.
• Preferred background in large consumer platforms, marketplaces, or high-volume ecommerce environments.
• Additional advantage for experience with agentic AI, generative AI frameworks, multi-agent systems, LLM orchestration, and multimodal workflows.

Eligibility

Open to candidates with any graduate degree. The role is intended for professionals with 7 years or more of relevant experience.

About Kforce

Kforce is a solutions firm focused on technology, finance and accounting, and professional staffing services. With six decades of experience, it supports clients through a knowledge-driven approach and deploys highly skilled professionals on both temporary and direct-hire assignments. Each year, around 18,000 experts work with Fortune 500 companies and other leading organizations to help deliver strategic outcomes.

Additional Information

This role is based in Pune, India. The listing does not specify salary, stipend, number of openings, start date, or application deadline. Employment details are not stated in the source.