Lead Data Scientist

Important: As a first step in the process, all candidates will be required to complete a short online take-home assessment within 24–48 hours. This will include live coding exercises in Python and SQL. Results are submitted directly to our team, and candidates who successfully complete the assessment will move forward to interviews with the client.

Lead / Senior Data Scientist | AI, Machine Learning, Python, SQL

We’re looking for a Lead / Senior Data Scientist who’s passionate about building intelligent systems, solving complex problems, and driving real business impact through data, machine learning, and AI.

If you live in Python, think in SQL, and enjoy turning messy data into powerful insights and production-grade models, this is the kind of role you’ve been waiting for.

What You’ll Do

Own and build end-to-end machine learning solutions — from raw data to production-ready models

Design and develop scalable models using Python (pandas, scikit-learn, TensorFlow, PyTorch)

Leverage SQL to extract, manipulate, and analyze large, complex datasets

Lead and mentor other data scientists while staying hands-on

Partner with product, engineering, and business teams to turn data into actionable insights

Drive AI and advanced analytics initiatives that directly impact business outcomes

Build and optimize models for prediction, classification, recommendation, and automation

Work with large-scale data environments and modern cloud platforms (AWS, Azure, or GCP)

Continuously experiment, iterate, and improve models using A/B testing and statistical analysis

What You Bring

5–8+ years of experience in data science, machine learning, or AI-focused roles

Strong hands-on expertise in Python and SQL (this is critical)

Proven experience building and deploying machine learning models in production

Deep understanding of ML algorithms, statistical modeling, and data pipelines

Experience working with large datasets and distributed systems

Ability to communicate complex technical work to non-technical stakeholders

Experience mentoring others or operating as a senior technical leader

Bonus Points

Experience with deep learning, NLP, or recommendation engines

Exposure to MLOps, CI/CD, and model lifecycle management

Background in high-impact industries like healthcare, financial services, or tech

Why This Role

High visibility, high impact — your work directly drives business decisions

Strong focus on cutting-edge AI and machine learning

Collaborative, fast-moving environment with real ownership

Clear path for growth into leadership