Director Of Data Science

Harnham; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Harnham is seeking a Director of Data Science to lead and advance our data science and AI initiatives. This permanent, USA-based role guides strategy, drives impact, and ensures high-quality analytics across the organization.

You will oversee end-to-end data science work, mentor team members, and collaborate with cross-functional partners to translate business needs into analytical solutions, balancing strategic thinking with hands-on execution in a fast-moving environment.

Qualifications

• Strong leadership experience in data science and AI.
• Experience directing end-to-end data science projects from problem definition to deployment.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Mentor and develop team members to grow capabilities and impact.

Responsibilities

• Direct end-to-end data science work from problem definition to deployment and measurement.
• Collaborate with cross-functional partners to translate business needs into analytical approaches.
• Set technical direction and foster a culture of rigorous research and continuous improvement.
• Oversee model development, evaluation, and production readiness across the organization.

Skills

Leadership experience in data science/

Cross-functional collaboration

Mentoring / team development

Communication with stakeholders

Job description

We are seeking a Director of Data Science to lead and advance our data science and AI efforts. In this role, you will help guide the strategy and execution of data-driven initiatives, ensuring that models and analytics deliver measurable impact. You will oversee the development of AI and data science solutions and work to strengthen how data and insights are applied across the organization.

Responsibilities will typically include directing end-to-end data science work, from problem definition and experimentation through model development and deployment, and ensuring quality and reliability of outputs. You will collaborate with cross-functional partners to translate business needs into analytical approaches, prioritize opportunities, and foster a culture of strong research practices and continuous improvement. You will also be expected to set technical direction and help mentor and develop team members.

The ideal candidate will have strong leadership experience in data science and AI, with a solid background in building and applying machine learning or advanced analytics to real-world problems. You should be able to communicate effectively with technical and non-technical stakeholders, balance strategic thinking with hands-on execution, and drive results in a fast-moving environment. The role is permanent and based in the USA.