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Enigmaio·2 days ago
2 days ago

Staff/Senior Data Scientist, Entity Resolution Team

New York, United States of AmericaSenior · 6-8 yearsData Scientist

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Must-have skills for this role

  • statistics
  • distributed machine learning
  • model development
  • experiment design

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Apply faster with autofill FREEenigmaio uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

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 they're looking for

  • 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.

Nice to have

  • 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.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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

At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, & drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. 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-$295,000

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.

Company

Enigmaio
New York, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Enigmaio's careers site·first seen 18 Sept 2026·last verified 18 Sept 2026·How we source jobs

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