About this opportunity
Zest for Tech lists this Senior Data Scientist opportunity in baltimore, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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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
$150,000.00/yr - $200,000.00/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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Worksite address
baltimore, MD, 21276, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.