Data Scientist St. Louis, MO; Boston, MA

we are seeking a highly capable data scientist with approximately three years of experience to accelerate our journey toward data-driven wealth management. In this role, you will partner closely with advisors, investment professionals, and technology teams to unlock insights that enhance portfolio construction, client personalization, and operational performance. This position blends financial domain knowledge with advanced analytics and machine learning, offering an opportunity to influence the evolution of our data ecosystem and the future of our platform.

this role can be located in st. Louis, mo; boston, ma.

• analyze large, complex financial and client datasets to uncover trends, behavioral patterns, and investment signals.
• design, validate, and operationalize predictive models to support asset allocation, risk assessment, and client segmentation strategies.
• collaborate with business and financial stakeholders to translate strategic objectives into analytical approaches and data-driven solutions.
• build and maintain scalable data pipelines and workflows, ensuring reliable data ingestion, transformation, and quality within snowflake environments.
• develop intuitive dashboards, visualizations, and reporting artifacts (power bi, tableau, or similar) to communicate insights and influence decision-making.
• work closely with engineering teams to integrate analytical outputs and models directly into core wealth management systems and workflows.
• maintain thorough documentation and uphold data governance, controls, and compliance standards aligned with financial regulations and industry best practices.

• bachelor’s or master’s degree in data science, computer science, statistics, finance, or a related quantitative field.
• 3+ years of hands‑on experience in data science, ideally within financial services, wealth management, investment analytics, or related sectors.
• strong programming experience in python or r for statistical modeling, machine learning, and data manipulation.
• proficiency in sql and demonstrated experience with snowflake for data warehousing and analytical workloads.
• solid understanding of financial instruments, portfolio construction, performance metrics, and risk modeling concepts.
• experience with data visualization and business intelligence platforms (e.g., tableau, power bi, looker).
• familiarity with cloud environments (aws, azure, or gcp) and modern data stack components.
• exceptional communication and stakeholder engagement skills, with the ability to convey complex concepts to non‑technical audiences.
• experience with openai function calling, mcp servers, or custom agent integration
• experience with retrieval‑augmented generation (rag) and vector database expertise
• experience working with modern llms (openai, anthropic, google)

this is an exempt position. The annualized base pay range for this role is expected to be between  180,. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees.

Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

focus is a leading partnership of fiduciary wealth management and related financial services firms. Focus provides access to best practices, greater resources, and continuity planning for its affiliated advisory firms, which serve individuals, families, employers, and institutions with comprehensive financial services. Focus firms and their clients benefit from the solutions, synergies, scale, economics, and best practices offered by focus to achieve their business objectives.

For more information about focus, please visit

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