5+ years machine learning research and applied experience, PhD or MSc in ML, CS, statistics, or related field, advanced Python and PyTorch or JAX proficiency, strong publication record, and ability…
Master's or PhD in quantitative field or equivalent experience; 5+ years data science or applied statistics; proficiency in Python, SQL, cloud data platforms; strong statistical modeling, causal…
Master's or PhD in quantitative field; strong data analysis, statistical modeling, causal inference, machine learning; Python with pandas/scikit-learn; SQL; ability to evaluate models and explain…
Master's degree in computer science or related field; 5+ years data architecture/engineering experience; 15+ years leading technical teams; GCP, BigQuery, SQL, Python; data mesh design; governance…
Experience with Python, pandas, scikit-learn preferred; ability to write SQL; grounding in statistics and machine learning; legally authorized to work in the posting location for the internship…
Masters or PhD in Data Science, Computer Science, Medical Image Analysis, Statistics, Biomedical Engineering or related field; 5+ years (or 3+ with PhD) industry experience in Data Science, Machine…
Advanced degree (PhD or MS with substantial experience) in physics, applied math, statistics, EE, CS or similar; 6+ years hands-on modeling of real-world sensor/process data; strong Python and…
Pursuing bachelor's degree in Data Science, Computer Science, Business Information Systems or related field; rising junior or higher; programming with Python or R; visualization with Matplotlib or…
Master's degree in Statistics, Data Analytics, Engineering or related field plus 5 years experience, or Bachelor's plus 7 years; 4 years SQL, Python/R, model development, data analysis, product…
Master's degree in Statistics, Data Analytics, Engineering or related field plus 5 years experience, or Bachelor's plus 7 years; 4 years SQL, Python/R, model development, product strategy; 3 years…
Experience with modern proof systems (Halo2, Plonky3, STARK-based) or deep GPU/ML systems experience; ability to reason about soundness; write attackable code; thrive in ambiguous environments.
PhD with 1+ year experience in bioinformatics, computational biology, biochemistry, or related field; hands-on ML model development for protein design; Python and deep learning libraries; strong…
Master's degree in Biostatistics, Epidemiology, or related quantitative field; proficiency in SAS and R; experience with longitudinal data analysis and data management.
Master's degree in biostatistics, epidemiology, or related quantitative field; proficiency in SAS and R; experience with electronic health records and longitudinal data analysis.
Bachelor's degree in computer science, data science, or related field; hands-on experience with large language models and machine learning; strong Python programming; FastAPI backend development…
M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field; 2+ years professional computer vision experience; strong Python…
Bachelor's degree in quantitative field required; 8+ years data science experience with 3+ years managing data scientists; SQL and Python fluency; strong statistics and econometrics; ability to lift…
How many data scientist jobs in the USA are open right now?
There are 475 open data scientist jobs in the USA on Weekday as of 7 October 2026, with 154 added in the last 7 days. The list updates daily.
Which companies are hiring for data scientist roles in the USA?
U.S. Department of Health and Human Services (HHS), Syngenta Group, US Navy, Allergan and Boston Scientific have the most open data scientist roles in the USA on Weekday right now. Pick a company under "Top companies hiring" to see only its jobs.
Which skills do data scientist jobs in the USA ask for most?
Among the newest listings, Python, Pandas, SQL, R, PyTorch and Scikit-Learn come up most often.
Is Weekday free for job seekers?
Yes. Browsing and applying to jobs on Weekday is free for candidates. Companies pay Weekday to hire.
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