Time since we first saw it
Day 3
Early. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
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Actively hiring, first seen by us 3 days agoDesign and program systems to consolidate and analyze unstructured big data sources
Develop, refine, deploy and support statistical and machine learning models
Communicate analysis findings and recommendations to product and business managers
Build data visualizations that explain complex data simply
Clean and synthesize training and test data, and run simulations
Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse ‘big data’ sources
Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
Communicate insights and findings from analysis and experiments to product, service, and business managers.
Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
clean and synthesize training/test data, create/run simulations
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Under general supervision, this position is responsible for supporting research, product development, and sales efforts with insights gained from analyzing potentially large, unstructured complex datasets. Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Assignments are normally accompanied by general instructions and suggestions, outlining possible approaches, sources or information, and potential problems to be encountered with work reviewed regularly for soundness of technical judgment, overall adequacy and accuracy. Tasks involve the exercise of independent judgment and discretion about matters of significance.
• Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse ‘big data’ sources to generate actionable insights and solutions for client services and product enhancement.
• Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
• Communicate insights and findings from analysis and experiments to product, service, and business managers. Recommend solutions to moderately complex technical and procedure issues.
• Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.
• May identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action.
• Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Document findings and may make technical presentations to business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.
• Represents the organization as a contact with internal and external representatives.
• Additional Functions: Perform other duties as assigned or required.
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Location not supplied.
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No clear work-authorization passage found. Eligibility is unconfirmed.