SR. Data Scientist

Job description

Job Overview

We are looking for a Senior Data Scientist with a strong foundation in data science, machine learning, and AI who has a proven record of delivering high-visibility, high-ROI solutions to complex business problems. In this role, you will lead a small team of data scientists, set the technical direction, and own end-to-end delivery of impactful AI/ML solutions. You will spend most of your time enabling the team through delegation, coaching, and review, while stepping in hands-on for critical or highly complex work when needed.

This role suits someone who has been a standout individual contributor and is now ready to multiply their impact through people.

Job Responsibilities

Technical Leadership & Delivery Own the end-to-end lifecycle of data science initiatives: problem framing, data exploration, modeling, validation, deployment, monitoring, and iteration. Translate ambiguous business problems into well-defined analytical and ML solutions with measurable outcomes. Define technical approach, architecture, and best practices for ML/AI solutions, including statistical modeling, deep learning, NLP, forecasting, optimization, and GenAI/LLM-based applications where relevant.

People Management & Team Development Lead, mentor, and grow a small team of data scientists; set clear goals and expectations aligned with business priorities. Provide regular, constructive feedback, highlighting strengths and specific areas for improvement. Governance, Quality & Responsible AI Establish standards for code quality, documentation, experiment tracking, model versioning, and peer review. Ensure models are monitored for drift, performance degradation, and bias, with clear retraining and retirement criteria.

Innovation & Thought Leadership Stay current with advances in ML, AI, and GenAI; evaluate and introduce relevant methods and tools pragmatically. Drive reusable assets (feature stores, templates, accelerators, internal libraries) to speed up delivery.

Experience

9–10 years of relevant experience in data science, machine learning, and AI, with a track record of owning and delivering end-to-end solutions. Demonstrated record as a strong individual contributor who delivered high-visibility, complex solutions with measurable ROI. Prior experience leading or mentoring a team (formal or informal), with exposure to people management and leadership responsibilities.

Education

Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (Bachelor's with exceptional experience may be considered).

Technical Skills

Programming: Expert-level Python ; strong SQL; working knowledge of software engineering practices (Git, testing, code review, CI/CD).

Machine Learning & Statistics

Deep understanding of supervised/unsupervised learning, time-series forecasting, experimental design, hypothesis testing, causal inference, and optimization.

Deep Learning & AI

Hands-on experience with frameworks such as PyTorch, TensorFlow, or equivalent; experience with NLP, computer vision, or GenAI/LLMs (prompting, RAG, fine-tuning, evaluation) is strongly preferred.

Data & Platforms

Experience with large-scale data processing (Spark or equivalent) and cloud platforms (AWS) and their ML services.

MLOps

Experience deploying and monitoring models in production (e.g., MLflow, Docker, Kubernetes, model registries, pipelines).

Visualization & Communication

Proficiency with tools such as Streamlit or equivalent; strong data storytelling skills. Competencies