As a Data Scientist II, you'll provide data-driven insights, ensure data integrity, analyze data, build predictive models, and collaborate with cross-functional teams.
Who You Are
You are a motivated Data Scientist who is passionate about driving results and has a creative approach to solving problems.The candidate will be responsible for providing support to the organization with data-driven insights using advanced statistical and modeling techniques. In addition to model development, you will also be responsible for communicating, documenting, and monitoring preexisting models.
What You'll Do
- Assure the integrity of project data, including data extraction, storage, manipulation, processing, and analysis.
- Analyze data with standard statistical methods, interpret the results, and provide both written and verbal summaries and recommendations.
- Collaborate with cross-functional teams to identify opportunities, design solutions, and implement initiatives that enhance production pipeline efficiency.
- Contribute in a dynamic, team-oriented environment that values your perspective, supports your growth, and encourages innovation
What You'll Need
- 2+ years of hands-on experience in data science, with a strong preference for candidates with a background in the FinTech or financial services industry.
- Advanced degree (master’s or PhD) in Statistics, Mathematics, Data Science, Business Analytics, Operations Research, Economics or a related quantitative field
- Proficiency in statistical modeling and data analysis using R or Python, with solid experience working with large datasets and writing complex SQL queries.
- Experience with building predictive models using statistical/machine learning techniques
- Ability to collaborate with cross-functional departments including Sales, Sales Ops, Product, Marketing, Credit etc. to understand business context and solve problems
- A self-starter mindset with strong organizational skills, capable of managing multiple priorities in a fast-paced, dynamic environment
- Proficiency with data visualization tools such as Power BI or Tableau is a plus
- Experience working in Databricks or similar cloud-based analytics environments is a plus
- Strong verbal / written communication skills
Top Skills
Databricks
Power BI
Python
R
SQL
Tableau
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What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
