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Senior Data Scientist

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Zest for Tech
Full Time, Part Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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This role is focused on applying machine learning and modern AI techniques to real world problems, taking models from experimentation through to production, and directly influencing how AI powered features are designed, evaluated, and improved over time. We are partnered with an established startup building AI products that deliver real social impact. Their work focuses on using technology to improve outcomes for underserved communities, and they are expanding their engineering and data teams as they scale.

They have been profitable for the past three years and continue to invest heavily in applied AI across their platform.

Base pay range

$/yr - $/yr

What you will do
  • Build, train, and evaluate machine learning models for real world use cases
  • Apply AI techniques such as classification, document understanding, and extraction to production systems
  • Experiment with and adapt models from open source and vendor ecosystems
  • Partner closely with engineering and product teams to deploy and iterate on models
  • Improve automation, reduce manual processes, and drive measurable system improvements
What you will bring
  • Strong experience in data science or applied machine learning
  • Hands on experience training, fine tuning, and validating ML models
  • Comfort working with Python and modern ML frameworks
  • A rigorous and detail oriented approach to experimentation and evaluation
  • Motivation to work on problems with clear real world and social impact
Location

Washington DC - 2-3 days / week in the office

Compensation

$150k-$200k

Stack

Python, PyTorch or similar, ML tooling, modern data infrastructure

Perks

Full health coverage and generous PTO

Seniority level

Mid-Senior level

Employment type

Full-time

Industry

Data Infrastructure and Analytics

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Position Requirements
10+ Years work experience
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