Staff/Senior Data Scientist, Entity Resolution Team
About this role
The Entity Resolution team at Enigma is building next-generation small business intelligence products designed to provide a reliable source of data on businesses. This staff or senior data scientist will take ownership of problems from raw source data through scalable pipelines and models to the customer interface, directly shaping platform accuracy and predictive capabilities. Success in this position requires a first-principles approach to problem-solving, a bias toward simple and elegant solutions, and the ability to collaborate effectively within a cross-functional environment.
Candidates joining the organization will tackle complex challenges in entity resolution, leveraging distributed machine learning, statistics, and large-scale data transformation. Someone who thrives here enjoys operating with high trust and autonomy, ships practical solutions quickly, and values rigorous, reproducible analysis grounded in ground-truth validation.
What you will do
- Translate customer goals into working solutions by utilizing large-scale data transformation, sound statistics, and high-quality code.
- Establish high standards for rigorous analysis and model development to ensure results remain reliable and reproducible.
- Develop repeatable strategies that validate results against real-world ground truth.
- Identify data gaps, trace their origins, and implement fixes to enhance overall product quality.
- Apply a first-principles, metrics-driven approach to resolve complex technical challenges.
What you need
- Bring 6 to 8 or more years of industry experience spanning statistics, experiment design, and distributed machine learning.
- Demonstrate a track record of technical leadership or mentoring other data scientists.
- Communicate clearly with both technical and non-technical stakeholders.
- Hold an advanced degree in a quantitative discipline like Computer Science, Mathematics, or Physics, or possess equivalent industry experience.
- Maintain a bias for action and a willingness to ship practical solutions rapidly.
Nice to have
- Built data products in the entity resolution, sales, marketing, KYB, or credit underwriting space.
- Prior experience in Python, Spark, and Databricks.
- Prior experience working with large and complex data pipelines.
Benefits
- Equity options allowing employees to purchase ownership in the company
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The salary range is $180,000 to $295,000, which is part of a total compensation package that includes additional benefits and equity.
Where is the position located?
The role is located in New York, NY or Los Angeles, CA.
What tools and technologies does the team primarily use?
Most work is done in Databricks using Spark SQL and PySpark, supported by statistical tooling and machine learning or artificial intelligence.