About the Company A well-established financial services organization serving millions of consumers is investing in artificial intelligence and machine learning to improve decision-making, automate workflows, and develop new product capabilities. The company has a growing data function and executive support for expanding its AI/ML initiatives.
About the Role The organization is seeking a Director of Data Science to lead and scale its machine learning practice. This fully remote, US-based role offers the opportunity to shape data science strategy, guide a team of data scientists and a product manager, and deliver measurable business value through production-ready machine learning solutions.
Reporting to executive leadership, the Director will oversee the end-to-end machine learning lifecycle, from identifying business opportunities and developing models to deployment, monitoring, and retraining. The role involves close collaboration with engineering, product, data engineering, MLOps, and operations teams to deliver scalable, responsible AI solutions.
Key Responsibilities
Lead, mentor, and develop a team responsible for building production-grade machine learning models aligned with business objectives.
Identify, evaluate, and prioritize data science initiatives based on business impact and return on investment.
Oversee the complete machine learning lifecycle, including model development, deployment, monitoring, and retraining.
Partner with engineering, product, operations, data engineering, and MLOps teams to deliver scalable machine learning solutions.
Support reliable data and machine learning pipelines using Snowflake, DataRobot, and real-time APIs.
Oversee model deployment through batch inference and real-time APIs.
Promote best practices in model governance, explainability, and responsible AI.
Present data-driven insights and strategic recommendations to executive stakeholders.
Influence business strategy by identifying opportunities to apply AI/ML to operational processes and product development.
Required Qualifications
At least 10 years of experience in data science or machine learning.
At least 2 years of formal leadership experience or experience in a player-coach role.
Strong proficiency in Python and SQL.
Deep understanding of supervised and unsupervised machine learning.
Proven experience deploying and monitoring machine learning models in production, including batch and real-time applications.
Experience collaborating across engineering, product, and business teams.
Familiarity with model deployment platforms such as DataRobot, Amazon SageMaker, or similar technologies.
Experience with Snowflake-native machine learning or integrated MLOps workflows.
Strong communication skills and business acumen, with the ability to influence executive-level stakeholders.
Preferred Qualifications
Experience in financial services, lending, or high-volume consumer products.
Exposure to prescriptive analytics and optimization techniques.
Compensation and Benefits
Salary: $190,000–$215,000 plus bonus.
Equity.
Fully remote work flexibility.
High visibility and executive sponsorship.
Opportunity to build and scale a machine learning function.
Employment Details
Job Title: Director of Data Science
Employment Type: Full-time
Location: Remote, United States
Industry: FinTech / Consumer Services
Seniority Level: Director