Staff/Senior Data Scientist, Entity Resolution Team
Company websiteenigma.com (Enigma, opens in new tab)
Base salary $180K to $270K
Employer-published annual base salary, USD. Advertised base range in New York, NY +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (13 min ago) · observed since
All places named
- New York, NY
- Los Angeles, CA
About this job
The Opportunity
This is an exciting time at Enigma. We’re on the cusp of releasing our next generation of small business intelligence products built on years of learnings in the space. We are seeking an experienced Data Scientist to join our Entity Resolution team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive capabilities of our data platform, influencing key business decisions for our customers.
The Role
Data is at the core of Enigma’s product, which makes data science the beating heart of what we ship. As a Data Scientist on the Entity Resolution Team, you will work in a cross-functional team alongside other data scientists, engineers, and business stakeholders. You will own problems end to end–from raw source data, through models and scalable pipelines, to the customer interface. Your impact will be measured by the contributions you make with your team to improve the accuracy of our data and the value of our product to our customers.
What You’ll Do
- Translate customer goals into working solutions, using large-scale data transformation, sound statistics, and high-quality code. Most of our work is in Databricks (both Spark SQL + PySpark), supported by statistical tooling, and by ML/AI where the problem calls for it.
- Set a high standard for rigorous analysis and model development, grounded in sound statistical practice, so that results are high-quality and reproducible.
- Treat data as a reflection of the real world, and develop repeatable strategies for validating results against ground truth.
- Develop techniques to detect gaps in our data, find the source, and close them in a way that improves the product.
- Apply a data-focused, first-principles approach to problem solving. We value people who bias toward simple and elegant solutions, but who can implement state-of-the-art models and techniques when the problem requires it
What Makes This Role Exciting?
- Technical challenge: Enigma is solving some of the hardest problems in the world related to entity resolution. You will be critical to our success.
- Ownership and Impact: Data science at many companies supports product and business decisions. At Enigma, data science is the product. You will work directly with customers and internal teams in an environment of high trust and responsibility.
- Learning: We’re tackling problems with exciting data that don’t have obvious solutions. Every day brings new opportunities to learn about data science and our world.
Our Ideal Candidate
- Brings 6-8+ years of industry experience in statistics, experiment design, and distributed machine learning, with a track record of using it creatively to deliver customer impact.
- Has experience as a tech lead or as a mentor to other data scientists.
- Holds strong opinions and defends them, but is open-minded to other perspectives and approaches. Disagrees openly, commits completely, and never lets a debate cost the team its momentum.
- Communicates effectively with technical and non-technical audiences.
- Can’t leave a data problem alone until it’s right. Learns fast, ships fast, and would rather put something real in front of customers this month than something perfect next year.
- Takes a principled, metrics-driven approach to solving complex data problems.
- Holds an advanced degree in a quantitative discipline (e.g. Computer Science, Mathematics, Physics), or has equivalent industry experience.
Bonus Points If You
- Have built data products in the entity resolution, sales, marketing, KYB, or credit underwriting space.
- Have prior experience in Python, Spark, and Databricks.
- Have prior experience working with large and complex data pipelines.
About Us
Enigma provides authoritative answers about business entities for agentic and automated workflows. By leveraging an industry leading business entity resolution model to link thousands of bespoke public and private datasets, Enigma enables agents and workflows to fully understand the relationship and connections between legal entities, brands, locations, and the owners. It means a search for a single record returns complete information about that business and the full network around it. The company is known for Enigma for AI and Enigma for Workflows (KYB, risk, fraud, underwriting, payments and go-to-market).
We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you!
We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Salary Range: $180,000-$270,000
A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.
Source: Enigma on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 42% of the 1,612 Data & ML roles in California listed on this site; 56 others list the same floor. Their median floor is $185,000; the middle half runs from $157,275 to $226,389.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingStaff/Senior Data Scientist, Entity Resolution Team$180K to $270K
Senior Software Engineer, Growth & KYB Team$180K to $240K
Staff/Senior Machine Learning Engineer, Match Team$180K to $270K
Senior Software Engineer, Match Team$180K to $240K
Senior Software Engineer, API and Data Delivery$180K to $240K
Senior Designer, Marketing & GTM$175K to $210K
Senior Data Acquisition Analyst$175K to $225K
Chart as a table
| Role | Published base |
|---|---|
| Staff/Senior Data Scientist, Entity Resolution Team (this listing) | $180K - $270K |
| Senior Software Engineer, Growth & KYB Team | $180K - $240K |
| Staff/Senior Machine Learning Engineer, Match Team | $180K - $270K |
| Senior Software Engineer, Match Team | $180K - $240K |
| Senior Software Engineer, API and Data Delivery | $180K - $240K |
| Senior Designer, Marketing & GTM | $175K - $210K |
| Senior Data Acquisition Analyst | $175K - $225K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-18
Where this pay comes from
Location as the employer wrote it: New York, NY or Los Angeles, CA
Salary Range: $180,000-$270,000
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
