Themis
Data Scientist / ML Engineer
Rol remoto de Data Science con fit claro de ubicación del candidato.
Publicado1 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Data Scientist / ML Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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 Themis 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
Roles similares
Mantén una lista de respaldo.
Stack
Usa estas tags para comparar roles remotos similares.
Elegibilidad de ubicación
Candidatos deberían aplicar solo cuando el país del perfil aparece aquí.
Tu perfilPaís no definidoInicia sesión para comparar tu país con este rol.
Flujo de contratación
WithMira muestra el rol y luego envía candidatos a la aplicación de la empresa.
1Revisa fit del rol, stack y elegibilidad de ubicación en WithMira.
2Abre la página de aplicación de la empresa desde el link rastreado.
3Guarda el rol o suscríbete a oportunidades similares antes de salir.