Staff/Senior Data Scientist, Entity Resolution Team

Enigma•Los Angeles, CA

4d•$180,000 - $295,000

About The Position

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. 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.

Requirements

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.
Experience as a tech lead or as a mentor to other data scientists.
Strong opinions and the ability to defend them, while being open-minded to other perspectives and approaches.
Effective communication with technical and non-technical audiences.
A commitment to ensuring data problems are resolved thoroughly.
Fast learning and shipping capabilities, prioritizing delivering functional solutions over perfection.
A principled, metrics-driven approach to solving complex data problems.
An advanced degree in a quantitative discipline (e.g. Computer Science, Mathematics, Physics), or equivalent industry experience.

Nice To Haves

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.

Responsibilities

Translate customer goals into working solutions, using large-scale data transformation, sound statistics, and high-quality code.
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