Staff/Senior Data Scientist, Entity Resolution Team

Enigma is hiring a Staff/Senior Data Scientist to join the Entity Resolution team in Los Angeles, CA (onsite) . This role is built for people who enjoy turning raw data into reliable, customer-facing solutions. You will help raise accuracy, scalability, and predictive performance across Enigma’s data platform by designing end-to-end systems and robust validation strategies.

Compensation for this position is $180,000–$295,000 per year . Enigma also offers equity , because the company believes every employee should have the option to purchase ownership and share in the value created together, plus additional benefits and opportunities .

Responsibilities

• Translate customer goals into working solutions using large-scale data transformation, sound statistics, and high-quality code.
• Deliver most work in Databricks with Spark SQL and PySpark , supported by statistical tooling and ML/AI when the problem calls for it.
• Maintain rigorous standards for analysis and model development to ensure results are high-quality and reproducible .
• Validate entity resolution and related outputs against ground truth using repeatable strategies.
• Detect gaps in data, identify their source, and close them in ways that improve the product.
• Use a first-principles, data-focused approach: prioritize simple and elegant solutions, while implementing state-of-the‑art methods when needed.
• Own problems end to end, from raw source data to models and scalable pipelines through to the customer interface .

Requirements

• 6‑8+ years of industry experience across statistics, experiment design, and distributed machine learning, with a record of creative, customer‑impacting application.
• Experience serving as a tech lead or mentoring other data scientists.
• Strong technical opinions, balanced with openness to other perspectives and approaches.
• Ability to communicate clearly with both technical and non‑technical audiences.
• A bias toward shipping: learns fast, delivers real progress for customers, and improves iteratively.
• A principled, metrics‑driven approach to complex data problems.
• An advanced degree in a quantitative discipline (for example, Computer Science, Mathematics, or Physics) or equivalent industry experience.

Technologies

• Databricks, Spark SQL, PySpark, Python, ML/AI

Bonus Points

• Built data products in entity resolution , sales, marketing, KYB, or credit underwriting.
• Prior experience using Python , Spark , and Databricks .
• Experience working with large and complex data pipelines .