Data Scientist / ML Engineer

About Lumen Dynamics Lumen Dynamics is a collaborative governance, risk, and compliance platform helping banks, credit unions, and fintechs streamline oversight, strengthen compliance programs, and move faster with confidence. Our customers operate in highly regulated environments where strong governance, risk management, and compliance practices are critical. We partner closely with financial institutions and fintechs to help them build scalable, effective oversight programs, strengthen third-party oversight, and navigate an increasingly complex regulatory landscape. At Lumen Dynamics , we believe great companies are built through partnership, expertise, ownership, and execution. We’re looking for team members who are excited to solve meaningful problems, build trusted relationships, and help shape the future of governance, risk, and compliance. About the Role We’re looking for a Data Scientist / ML Engineer to help Lumen Dynamics 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. Working Hours & Availability Lumen Dynamics is a remote-first team. Engineering operates with flexible working hours and supports asynchronous work, but all engineers are expected to maintain meaningful daily overlap with our core collaboration hours of approximately 11:00 AM–4:00 PM ET for standups, pairing, code review, and time-sensitive work. This role does not carry a regular on-call requirement, though occasional availability outside of standard business hours may be needed to support production model issues or time-sensitive launches. We support flexibility where possible, but regular or extended blocks of unavailable time during core hours should be discussed and aligned in advance. What You’ll Do Modeling & Experimentation 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 Production ML & Engineering 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 Lumen Dynamics platform reliably and at scale Implement guardrails, evaluation harnesses, and monitoring for AI-powered features Data & Insight 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 Required Qualifications 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 Preferred Qualifications 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 What We Value The people who thrive at Lumen Dynamics tend to share a common set of characteristics: Hunger & Ownership We act like owners. We take initiative, spot gaps, and drive results for both our customers and the company. Radical Accountability We own outcomes without blame or excuses. We communicate early, learn from mistakes, and stay focused on solutions. Problem Solver Mentality We are builders, not blockers. We bring recommendations, options, and next steps, not just problems. Mission & Customer Focus Our customers trust us with critical compliance work. We take that seriously, advocate for their needs, and look for