Chief Scientist Data Science

BlueSteps Connect; United States; On-site; USD 180,000 - 340,000; Full time

Job summary

BlueSteps Connect seeks a Chief Scientist to set strategic direction in data science and AI, guiding advanced research and applied problem-solving to develop high-impact data and AI solutions. The role requires leading end-to-end R&D, defining technical priorities, and mentoring stakeholders while ensuring rigorous research and development standards.

The candidate will collaborate with cross-functional teams to translate complex requirements into practical models and methodologies, maintaining

Qualifications

• Experience guiding data science or AI research programs.
• Ability to translate complex requirements into practical models and methodologies.
• Mentoring and influencing stakeholders through technical leadership.

Responsibilities

• Lead end-to-end research and development activities in data science and AI.
• Define technical priorities and drive high-impact AI solutions.
• Collaborate with cross-functional teams to translate requirements into models and methodologies.

Skills

Data science

AI leadership

Technical leadership

Research management

Job description

The client is seeking a Chief Scientist with a focus on data science and AI. This senior leadership role is expected to set technical direction, guide advanced research and applied problem-solving, and drive the development of high-impact data and AI solutions.

Key responsibilities typically include leading end-to-end research and development activities, defining technical priorities, and supporting the design and evaluation of AI- and data-driven approaches. The Chief Scientist will likely collaborate with cross-functional teams to translate complex requirements into practical models and methodologies, and to ensure solutions meet relevant performance and quality expectations.

The role is expected to require strong expertise in data science and artificial intelligence, with demonstrated ability to lead scientific and technical efforts at a high level. The client may look for experience guiding advanced analytics or AI work, mentoring and influencing stakeholders through technical leadership, and maintaining rigorous standards in research, development, and continuous improvement.