Data Scientist / ML Engineer

Themis • New York, NY

7h • Remote

About The Position

We’re looking for a Data Scientist / ML Engineer to help Themis turn data into intelligence that makes governance, risk, and compliance faster, smarter, and more reliable for our customers. In this role you’ll work across the full lifecycle, from framing problems and exploring data to building, deploying, and monitoring models and AI-powered features in production. You’ll help us apply machine learning and large language models to real compliance workflows where accuracy, explainability, and trust are non-negotiable. The ideal candidate is equally comfortable in a notebook and in a production codebase. You care about rigor and measurable impact, you communicate findings clearly to non-technical stakeholders, and you are thoughtful about deploying AI responsibly in a regulated domain.

Requirements

• Strong foundation in machine learning, statistics, and data science fundamentals
• Proficiency in Python and common data and ML libraries (e.g., pandas, scikit-learn, PyTorch, or TensorFlow)
• Experience taking models or data products from prototype to production
• Experience with SQL and working with real-world, messy data
• Ability to design experiments, define metrics, and evaluate models rigorously
• Strong communication skills and the ability to explain technical work to non-technical stakeholders
• Ability to manage ambiguity and own problems end to end

Nice To Haves

• Experience building with large language models, retrieval-augmented generation, or modern AI tooling
• Experience deploying and monitoring ML in production (MLOps)
• Experience in financial services, compliance, risk, fraud, or other regulated or high-stakes domains
• Familiarity with cloud data and ML platforms (e.g., AWS, GCP, or Azure)
• Experience working in a startup or high-growth company

Responsibilities

• Frame ambiguous compliance and risk problems as well-defined data and modeling tasks
• Build, evaluate, and iterate on machine learning models and LLM-powered features
• Design experiments and define metrics that measure real impact on customer workflows
• Apply rigorous evaluation, including accuracy, explainability, and bias considerations appropriate to a regulated domain
• Build and maintain data and ML pipelines for training, inference, and monitoring
• Deploy models and AI features into production and monitor their performance over time
• Collaborate with engineering to integrate models into the Themis platform reliably and at scale
• Implement guardrails, evaluation harnesses, and monitoring for AI-powered features
• Explore and prepare data, build features, and ensure data quality and integrity
• Translate data and model findings into clear recommendations for product and leadership
• Partner with Product to identify high-value opportunities for ML and AI

Benefits

• At Themis, you’ll apply data and AI to problems where getting it right really matters. You’ll own meaningful work end to end, ship to production, and help define how a growing company uses machine learning responsibly. If you’re excited to build intelligent features that customers depend on and to do it thoughtfully in a regulated space, we’d love to hear from you.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed