Lead Data Scientist

San Francisco, CA - USA

Monthly Salary: $ 165 - 195

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Why does this role matter

Finalis is a high-growth VC-backed fully remote startup using AI to build the future of private capital markets. Were entering the next phase of our development as a company and looking to leverage our proprietary data to create data-informed products that add valuable insight for our customers.

As Lead Data Scientist you will be the driving force to build a world-class ML and AI insights practice at Finalis. You will establish methodological rigor for analysis and predictive modeling. You will also mentor our data science team. Led by your efforts the data team will deliver high-impact analytical solutions that drive value throughout the Finalis platform.

What Youll Be Doing

Develop models that drive value for users based on a deep understanding of our customers our business and the data within the Finalis platform
Generate valuable insights that can be leveraged throughout our products
Ensure data consistency and accuracy across all platforms helping promote data-driven decision-making throughout Finalis
Collaborate with product and engineering to establish our MLOps foundation
Take new models from ideation to prototyping to validation to production
Inform the C-suite of key platform insights and ensure that we create a self-service data culture where data team members focus on high-value products and modeling
Mentor junior team members to help them develop and grow

What You Bring

5 years of professional Data Science and Machine Learning experience
At least 5 years of experience using Python for machine learning
Bachelors degree from a top-tier university
A growth mindset
An ability to thrive in a fast-paced ambiguous environment
Experience working in a collaborative environment with engineers user researchers and product teams
Experience developing/fine-tuning models via Sagemaker Bedrock and/or Vertex AI
Low ego collaborative and open-minded
Interest in financial products and AI-augmented user experiences
Experience with AI tools for prototyping/coding

Nice To Haves

Fintech and SaaS experience
Previous exposure to investment and capital markets
An advanced degree in Statistics or a similar field

What do we offer

High-ownership leadership role with meaningful influence across engineering and product.
Remote-first flexibility with a collaborative team culture.
Opportunity to scale with a mission-driven AI-enabled platform serving real-world users.
A team that values thoughtful strategy clear execution and technical excellence without ego

100% Remote work (Work from wherever you want)
Potential for equity grant in Finalis
Generous Paid time-off (Vacation Time!)
Additional 17 Flex Days (to use in national holidays or personal matters)
People Team Partner (to target your roadblocks and customize an action plan for your career path)
Buddy Program
Virtual After-Office Activities
Diverse Culture & Inclusive Environment

Why work with Finalis

We are a fast-paced startup which will enable you to develop skills quickly and work in an entrepreneurial culture where pushing limits and taking risks is everyday business. As we have Finalists from different countries and cultures we encourage our team members to develop their soft skills boosting their ability to adapt to different backgrounds.

Finalis values:

Deliver with Integrity
Dream Boldly
Empower through Leadership
Value Learning

Finalis provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability genetics sexual orientation gender identity or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds experiences perspectives and abilities.

Why does this role matterFinalis is a high-growth VC-backed fully remote startup using AI to build the future of private capital markets. Were entering the next phase of our development as a company and looking to leverage our proprietary data to create data-informed products that add valuable insig...