Director of Data Science - AI Strategy & Impact

Acquisition Network LLC; San Francisco (CA); On-site; USD 190,000 - 285,000; Full time

Job summary

Acquisition Network LLC in the San Francisco Bay Area is seeking a Director of Data Science to lead data science strategy and build high-performing teams. You will set the technical direction for ML initiatives, translate business priorities into data products and production systems, and partner with engineering, product, security, and business leaders.

The role requires senior ML experience, strong statistical judgment, and the ability to communicate clearly with executives and technical teams,

Qualifications

• Senior experience in machine learning, data science, analytics, or a related field.
• Strong statistical, technical, and experimental judgment.
• Experience taking data/model work from discovery to production.
• Ability to tie technical work to revenue, risk, or operations.
• Clear communication with executives and technical teams.

Responsibilities

• Lead data science strategy, experimentation, model quality, and a high-performing team.
• Set the technical direction for data, ML, or AI initiatives.
• Turn business priorities into measurable models, data products, experiments, and production systems.
• Establish standards for data quality, evaluation, monitoring, privacy, and responsible model use.
• Partner with engineering, product, security, and business leaders on implementation and adoption.
• Communicate tradeoffs, limitations, and results clearly to technical and executive audiences.
• Develop team capability through hiring, mentoring, documentation, and repeatable operating practices.

Skills

Senior ML experience

Statistical judgment

Productionized ML

Cross-functional collab

Executive communication

US work authorization

Job description

Acquisition Network LLC in the San Francisco Bay Area is seeking a Director of Data Science to lead data science strategy and build high-performing teams. You will set the technical direction for ML initiatives, translate business priorities into data products and production systems, and partner with engineering, product, security, and business leaders.

The role requires senior ML experience, strong statistical judgment, and the ability to communicate clearly with executives and technical teams,