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Staff/Senior Data Scientist (Entity Resolution Team)

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Onsite

Staff/Senior Data Scientist (Entity Resolution Team)

Enigma

Staff/Senior Data Scientist (Entity Resolution Team)

Skills

SQL QueriesPythonDatabricksMachine LearningAIPySpark

1 month ago

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Important information


Contract type:

Permanent

Salary:

$180,000 – $295,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

23 September 2026

What they need


  • 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
  • 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

Benefits

  • Adoption Assistance
  • Family Medical Leave
  • Flexible Work Schedule
  • Generous Parental Leave - Enigma offers 12 weeks paid leave for all new parents and 20 weeks of paid leave for birthing parents
  • Daily sync
  • Friends outside of work
  • Volunteer in local community
  • Team owned deliverables
  • Eat lunch together
  • Team based strategic planning
  • Group brainstorming sessions
  • Pair programming
  • Remote Work Program - Enigma has a hybrid-remote working culture. Our employees work from anywhere but are always welcome at our office in NYC- Effective communication skills with both technical and non-technical audiences
  • Principled, metrics-driven approach to solving complex data problems
  • Self-driven to solve data problems to completion; fast learner and able to deliver results quickly
  • Experience as a tech lead or as a mentor to other data scientists
  • 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
  • Strong opinions and the ability to defend them, while being open-minded to other perspectives and approaches
  • Advanced degree in a quantitative discipline (e.g., Computer Science, Mathematics, Physics) or equivalent industry experience
  • Ability to disagree openly, commit completely, and maintain team momentum
  • Experience building 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

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