Senior Data Scientist, Entity Resolution — High-Impact & Equity

Enigma; New York, California (NY, MO); On-site; USD 180,000 - 295,000; Full time

Job summary

Enigma is seeking an experienced Staff/Senior Data Scientist to join the Entity Resolution Team in New York. You will own end-to-end data problems, transforming raw data into scalable models and customer-facing solutions.

You will collaborate with data scientists, engineers, and business stakeholders to improve data accuracy and product value. You will apply rigorous statistical practices, build repeatable validation, and drive innovative approaches to data gaps.

Qualifications

• 6-8+ years of industry experience in statistics, experiment design, and distributed machine learning with a track record of delivering customer impact.
• Experience as a tech lead or mentor to other data scientists.
• Strong opinions and open-minded, able to defend positions while collaborating to keep momentum.

Responsibilities

• Translate customer goals into working solutions using large-scale data transformation and high-quality code (Databricks, Spark SQL, PySpark).
• Set a high standard for rigorous analysis and reproducible model development.
• Treat data as a reflection of the real world and validate results against ground truth.
• Develop techniques to detect data gaps, locate sources, and close them to improve the product.
• Apply a data-focused, first-principles approach and implement state-of-the-art models when needed.

Skills

Statistics

Experiment design

Distributed ML

Mentoring

Communication

Leadership

Education

Advanced degree in quantitative discipline (e.g. CS, Math, Physics)

Tools

Python

Spark

Databricks

Job description

Enigma is seeking an experienced Staff/Senior Data Scientist to join the Entity Resolution Team in New York. You will own end-to-end data problems, transforming raw data into scalable models and customer-facing solutions.

You will collaborate with data scientists, engineers, and business stakeholders to improve data accuracy and product value. You will apply rigorous statistical practices, build repeatable validation, and drive innovative approaches to data gaps.