Data Scientist / ML Engineer

Data Scientist / ML EngineerWe'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.Themis 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 DoModeling & ExperimentationFrame ambiguous compliance and risk problems as well-defined data and modeling tasksBuild, evaluate, and iterate on machine learning models and LLM-powered featuresDesign experiments and define metrics that measure real impact on customer workflowsApply rigorous evaluation, including accuracy, explainability, and bias considerations appropriate to a regulated domainProduction ML & EngineeringBuild and maintain data and ML pipelines for training, inference, and monitoringDeploy models and AI features into production and monitor their performance over timeCollaborate with engineering to integrate models into the Themis platform reliably and at scaleImplement guardrails, evaluation harnesses, and monitoring for AI-powered featuresData & InsightExplore and prepare data, build features, and ensure data quality and integrityTranslate data and model findings into clear recommendations for product and leadershipPartner with Product to identify high-value opportunities for ML and AIRequired QualificationsStrong foundation in machine learning, statistics, and data science fundamentalsProficiency 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 productionExperience with SQL and working with real-world, messy dataAbility to design experiments, define metrics, and evaluate models rigorouslyStrong communication skills and the ability to explain technical work to non-technical stakeholdersAbility to manage ambiguity and own problems end to endPreferred QualificationsExperience building with large language models, retrieval-augmented generation, or modern AI toolingExperience deploying and monitoring ML in production (MLOps)Experience in financial services, compliance, risk, fraud, or other regulated or high-stakes domainsFamiliarity with cloud data and ML platforms (e.g., AWS, GCP, or Azure)Experience working in a startup or high-growth companyWhat We ValueThe people who thrive at Themis tend to share a common set of characteristics:Hunger & OwnershipWe act like owners. We take initiative, spot gaps, and drive results for both our customers and the company.Radical AccountabilityWe own outcomes without blame or excuses. We communicate early, learn from mistakes, and stay focused on solutions.Problem Solver MentalityWe are builders, not blockers. We bring recommendations, options, and next steps, not just problems.Mission & Customer FocusOur customers trust us with critical compliance work. We take that seriously, advocate for their needs, and look for ways to deliver real value.Low Ego, High ImpactWe care more about solving problems than getting credit. We stay collaborative, coachable, and ready to jump in wherever needed.Adaptability & ResilienceWe stay flexible and steady through change. When priorities shift or challenges come up, we keep moving forward.Curiosity & Continuous LearningWe are excited to learn. We dig into how the product works, investigate issues, use AI and automation thoughtfully, and keep growing into trusted experts.Why Join Themis?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.