The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.
Please note: While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.
Who We Are:
Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech- enabled credit products which combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. The Company’s next-generation approach to lending reduces credit barriers and creates a Path to Prime® helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant
has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.
Position Summary:
We are looking for an experienced Data Scientist to develop, implement and optimize the core machine learning models that drive our business. The right person for this role has strong technical skills with a solid background in machine learning and analytics. You will play a central role in delivering scalable, interpretable, and compliant models that drives Braviant’s business
performance while collaborating closely with partners across Marketing, Credit, Technology, and Compliance. This person is biased towards action and proactively seeking new solutions.
What you’ll be doing:
- Develop, implement and monitor performance of machine learning models across loan life cycle
- Design and implement A/B testing frameworks to validate hypothesis, analyze outcomes and drive continuous improvement
- Proactively perform data exploration and analysis to identify new opportunities to enhance model performance and business impact
- Collaborate with cross functional stakeholders to define and monitor business KPIs and influence product strategy
- Partner with Technology teams to build out data science pipelines to support continuous testing, optimization and implementation of new models
- Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements
What you’ll bring:
- Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
- 4-6 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space.
- Advanced proficiency in Python for programming, data analysis, and predictive modeling
- Proficiency in SQL, Excel and experience with data visualization tools
- Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models
- Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping
- Passion for keeping your skills up to date and exploring new methodologies
- The ability to distill complex problems and analysis into a clear and concise narrative
Benefits and Perks
• Medical benefits paid by employer/employee split of 80/20
• Participation in discretionary bonus plan
• Dental and Vision covered at zero cost to you for employee only coverage
• PTO, Sick and Floating Holidays
• 14 Company Holidays
• Participation in the Company Profits Interest Units long term incentive plan
• Remote work environment
• Monthly Internet stipend
• Team and company events/get togethers
Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law
Top Skills
Excel
Python
SQL
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Data Scientist at Atlassian, you will leverage data to drive insights, collaborate with cross-functional teams, and influence product and business strategies through analysis and experimentation.
Top Skills:
LookerMicrostrategyPythonRR-ShinySap Business ObjectsSQLTableau
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.
Top Skills:
PythonSQL
Financial Services
As Lead Data Scientist, you will develop impactful machine learning models, mentor the data team, and ensure data consistency across platforms in a fast-paced startup environment.
Top Skills:
BedrockPythonSagemakerVertex Ai
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
