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Finalis

Finalis

via Ashby

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Lead Data Scientist

Anywhere
Full-time
Posted 12/3/2025
Direct Apply
Key Skills:
Machine Learning
Data Science
Predictive Modeling
MLOps
Sagemaker
Bedrock
Vertex AI
AI Tools for Prototyping
Statistical Analysis

Compensation

Salary Range

$120K - 180K a year

Responsibilities

Develop and deploy machine learning models, generate insights, ensure data accuracy, collaborate with product and engineering teams, and mentor junior data scientists.

Requirements

5+ years professional experience in data science and machine learning, bachelor's degree from a top-tier university, experience with AI tools and MLOps, and ability to work in a fast-paced startup environment.

Full Description

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. We’re 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 You’ll 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 Bachelor's 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.

This job posting was last updated on 12/4/2025

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