Senior Data Scientist, Rain
Employer-sponsored financial wellness provider
Be an early applicant
Employer-sponsored financial wellness provider
201-500 employees
Be an early applicant
201-500 employees
Company mission
To regrow individual freedom by giving people control over their income and finances.
Role
Who you are
- If you're the kind of data scientist who gets energized by seeing your work move the needle on a real product — not just a dashboard — this team was built for you
- You thrive in ambiguity — you can take a loosely defined business problem, ask the right questions, and turn it into a well-scoped modeling task without waiting for a perfect brief
- You are a strong cross-functional collaborator who builds trust with product, engineering, and compliance partners and can speak their language
- You have a bias toward shipping — you know when a model is good enough to get into production and how to iterate from there, rather than optimizing in isolation
- You take ownership end-to-end: from a messy raw dataset to a monitored production model, you don't hand things off and walk away
- You communicate with clarity — you can walk a skeptical stakeholder through a model's tradeoffs without leaning on jargon
- You care deeply about model behavior in the real world, not just on a held-out test set
- You mentor and elevate the people around you, and you're energized by working somewhere where the stakes are real
- Python and core ML libraries, (pandas, scikit-learn, PyTorch, or TensorFlow )
- SQL and working with large, complex datasets
- Experience with LLMs and NLP techniques (fine-tuning, RAG, prompt engineering or similar)
- Communication skills to explain models trade offs
- Solid understanding of statistical modeling, experimentation, and model evaluation
- Experience taking models from prototype to production
- Familiarity with agentic frameworks (e.g. Langchain) and agent orchestration and evaluation
What the job involves
- Our data science team sits at the center of Rain's product. We're a small, senior team embedded in a fast-moving fintech, which means the models we build go directly into production decisions — credit risk scoring, balance forecasting, personalized financial insights — and the impact is immediate and measurable
- We work closely with product, engineering, and compliance, and we operate like owners: defining problems, building solutions, and monitoring them in production
- You'll be a key early hire on our international data science presence, working across time zones with our U.S.-based team and contributing to how we scale our ML function globally
- Run end-to-end experiments: feature engineering, model selection, A/B testing, and production monitoring
- Build and maintain scalable, well-documented pipelines that keep models healthy in production
- Design, train, and deploy ML and Agentic models that drive core product decisions, including credit risk, forecasting, and personalized recommendations
- Collaborate with product and engineering to translate business problems into well-scoped modeling tasks
- Communicate model behavior and findings to both technical and non-technical stakeholders
Application process
- Ensuring a smooth and enjoyable candidate experience is critical for us. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role
Our take
Financial difficulties continue to be a leading cause of employee stress, and waiting for payday can cause periods of cash drought where workers are vulnerable to overdraft fees and predatory lending. Rain provides employees with access to an amount of their earned wage, which is reimbursed by employers per their regular pay cycle.
Although paying employees more often seems a solution to the payday problem, it is often too demanding for payroll departments, and brings associated costs that companies would rather avoid. Rain is free to employers who offer it as a benefit for their employees, and it integrates with payroll systems easily. Instead of paying high interest on a payday loan, employees pay a small fee for the transaction when they access pay before payday.
Rain is backed by Clear Haven Capital, a company offering balance sheet capital solutions for financial services. Clear Haven has invested in other ascendant fintechs such as Walnut and Torpago, making it a promising partner. Rain's impressive investment will fund its continued US expansion, further develop technology and infrastructure, as well as contribute to increasing marketing efforts.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-31% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2025
$75m
SERIES B
Mar 2023
$66m
SERIES A
Total funding: $153.6m
Company benefits
- Remote work & a hybrid option for team members in our Nashville hub
- Flexible benefits package to fit your needs
- Opportunities for growth - we encourage employees to seek new passions within the company
- We offer volunteer opportunities and encourage our team members to prioritize their physical and mental health
Company HQ
Oakwood, Los Angeles, CA
Leadership
Alex Bradford
(CEO & Co-Founder)Co-founder of Mosaic and BIG. Former CEO/Founder at Voyager Global Advisors.
Gilberto Garcia Jr
(Chief Architect Officer, CTO & Co-Founder)Former Software Developer Consultant with Ascendant Compliance Management. Previously worked as Senior Scala Developer at Burner (Ad Hoc Labs).
Jen Terrell
(VP Employer Partnerships)Former VP Sales with Groupon. Worked at LivingSocial for 5 years including as Head of Local North American Sales division.
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