Sr. Data Scientist

Overview

We have a client seeking a Senior or Staff Data Scientist to join a growing Data Science team in a highly autonomous, hands-on role. This position is ideal for a technically strong practitioner who can own AI/ML solutions end-to-end while also serving as a technical leader and mentor within the team.

This is a production-focused role, not a research-only position. The ideal candidate is passionate about applied AI, generative AI, and agentic AI, and thrives in an environment where they are expected to design, build, deploy, and support AI solutions in real-world production environments.

Key Responsibilities

• Design, develop, and deploy machine learning and AI solutions across the organization

• Own the full lifecycle of data science solutions, from development through production deployment and ongoing support

• Lead predictive analytics initiatives and contribute to the generative AI and AI agent roadmap

• Build and enhance MLOps pipelines, including CI/CD, monitoring, and model lifecycle management

• Partner with product managers and business stakeholders to translate business needs into scalable AI solutions

• Mentor and guide junior data scientists and contribute to team technical development

• Support platform migrations and greenfield builds within Databricks environments

Role Breakdown

• Data Science / AI Solutioning: ~60%

• MLOps: ~30%

• Data Engineering: ~10%

Required Experience & Skills

• 5–7+ years of enterprise data science experience

• Strong background in machine learning and predictive analytics

• Proven experience deploying ML models into production environments

• Solid understanding of MLOps, CI/CD pipelines, and SDLC best practices

• Experience with Databricks or Azure ML (at least one required)

• Strong communication and stakeholder engagement skills

• Self-starter mindset with demonstrated leadership potential