Senior Data Scientist — Entity Resolution & Data Pipelines

Enigma Technologies, Inc.

New York (NY)

On-site

USD 180,000 - 295,000

Full time

28 hours ago
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Benefits offered by this job

Equity

Job summary

Enigma Technologies, Inc. is seeking an experienced Data Scientist to join our Entity Resolution team.

You will own problems end-to-end—from raw source data, through models and scalable pipelines, to the customer interface—impacting the accuracy, scalability, and predictive capabilities of our data platform. You will work in a cross-functional team with other data scientists, engineers, and business stakeholders, applying state-of-the-art methods when needed and mentoring teammates to drive real

Qualifications

  • 6–8+ years of industry experience in statistics, experiment design, and distributed machine learning.
  • Experience as a tech lead or mentor to other data scientists.
  • Advanced degree in a quantitative discipline or equivalent industry experience.

Responsibilities

  • Translate customer goals into working solutions using large-scale data transformation and statistics.
  • Work in Databricks with Spark SQL and PySpark, supported by ML/AI when needed.
  • Maintain rigorous analysis and ensure results are reproducible.
  • Develop strategies to validate results against ground truth and improve data quality.
  • Collaborate with cross-functional teams to deliver end-to-end data products.

Skills

Statistics
Experiment design
Distributed ML
Python
Spark
Databricks

Education

Advanced degree in quantitative field

Tools

Databricks
Spark
PySpark
Spark SQL
Python

Job description

Enigma Technologies, Inc. is seeking an experienced Data Scientist to join our Entity Resolution team.

You will own problems end-to-end—from raw source data, through models and scalable pipelines, to the customer interface—impacting the accuracy, scalability, and predictive capabilities of our data platform. You will work in a cross-functional team with other data scientists, engineers, and business stakeholders, applying state-of-the-art methods when needed and mentoring teammates to drive real

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