Senior Data Scientist (Fintech)

Location: Boston, Massachusetts; hybrid schedule with at least four days per week in the office and one day working from home

Base salary: $78,700–$138,200 per year, with potential variable compensation.

Company

hirify.global is a diversified financial services company providing financial planning, asset management, insurance, and investment services to individual, small business, and institutional clients.

What you will do

• Develop complex analytical solutions using predictive modeling, machine learning, simulation, and optimization for asset management objectives.
• Create and validate large analytical datasets, including data extraction, variable construction, and data quality controls.
• Monitor analytical solution execution across data sourcing, segmentation, analytics, delivery, and back-end result capture.
• Collaborate with business leaders and analysts to identify needs, define requirements, assess risks, and develop business-driven analytic solutions.
• Translate modeling and analytical outputs into understandable, actionable business knowledge and applications.
• Embed analytic programs and tools while maintaining their accuracy, relevance, effectiveness, and governance compliance.

Requirements

• Master’s degree and 1–3 years of relevant experience.
• Advanced statistical knowledge, including linear algebra and methods such as regression, Bayesian analysis, random forest, gradient boosting, neural networks, and clustering.
• Experience with statistical programming and data analysis using SAS, R, Python, or SQL in a data-rich environment.
• Ability to communicate complex technical concepts to less technical partners and support business decision-making.
• Ability to apply strategic and analytical techniques to develop business solutions and recommendations.
• Must already have valid United States work authorization and must not require visa sponsorship now or in the future.

Nice to have

• Ph.D. or a degree in finance, statistics, computer science, actuarial science, economics, engineering, or another quantitative discipline.
• Experience with Hadoop, cloud computing, container deployment, Spark, Dataiku, or Amazon SageMaker.
• Background in asset management or financial services.

Culture & Benefits

• Face-to-face collaboration and in-person relationship building are central to the working model.
• Benefits include vacation time, sick time, 401(k), and health, dental, and life insurance.
• Additional compensation may include bonuses, commissions, or long-term incentives depending on the role.
• Work supports multiple cross-functional projects and ongoing knowledge sharing.