Data Scientist / ML Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Frame complex compliance and risk challenges as clearly defined data and modeling tasks.

• Develop, assess, and refine machine learning models and features powered by large language models (LLM).

• Design experiments and establish metrics to evaluate genuine impact on customer workflows.

• Implement thorough evaluations, including considerations for accuracy, explainability, and bias relevant to a regulated environment.

• Construct and maintain data and machine learning pipelines for training, inference, and monitoring.

• Deploy models and AI functionalities into production and oversee their performance over time.

• Collaborate with engineering teams to reliably and scalably integrate models into the Themis platform.

• Explore and prep data, create features, and ensure data quality and integrity.

• Translate data and model insights into clear recommendations for product teams and leadership.

• Collaborate with Product to pinpoint high-value opportunities for machine learning and artificial intelligence.

⛳️ Requirements

• Strong background in machine learning, statistics, and fundamental data science principles.

• Proficient in Python and familiar with common data and machine learning libraries (e.g., pandas, scikit-learn, PyTorch, or TensorFlow).

• Experience in transitioning models or data products from prototype to production.

• Proficient in SQL and adept at working with real-world, messy data.

• Capability to design experiments, define metrics, and rigorously evaluate models.

• Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.

• Ability to navigate ambiguity and take ownership of problems from start to finish.

🏝️ Benefits

• Flexible working hours.

• Remote work options.