
Senior Data Scientist
DRAPER, UTJobSeen 5 days agoSeen in employer's feed 5 days ago
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At a glance
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Credentials this posting asks for.
Job overview
Ancestry.com Operations Inc. seeks a Senior Data Scientist to design machine-learning pipelines for historical document understanding and information extraction. The role develops evaluation frameworks, shapes AI strategy with domain experts and product managers, establishes model-development and deployment practices, and leads responsible AI efforts. Teleworking may be permitted. Applicants must be legally authorized to work in the U.S. without sponsorship.
Skills & qualifications
Skills
Qualifications
Full job description
Ancestry.com Operations Inc. seeks Senior Data Scientist in Draper, UT Job Duties: Design end-to-end ML pipelines for document understanding from various kinds of historical document collections. Build robust internal evaluation benchmarks and frameworks to evaluate and integrate emerging technologies like Large Language Models (LLMs) in information extraction use cases. Develop and execute ML strategy for long-term company initiatives by partnering with domain experts and product managers to understand business requirements. Establish and periodically review best practices for ML model development, testing, and deployment. Lead efforts in ensuring safe, ethical, and responsible use of AI systems across the organization to ensure best possible customer experience. Teleworking may be permitted. Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics or a closely related field plus one year of experience in the job offered or a related occupation. Special Skill Requirements: 1. End-to-End ML Pipeline Design: Implementation of machine learning pipelines specifically for document understanding and information extraction. (1 year) 2. Natural Language Processing (NLP): Experience utilizing NLP techniques for analyzing historical or unstructured document collections. (1 year) 3. Deep Learning Frameworks: Experience evaluating, fine-tuning, and integrating advanced Deep Learning or neural network models into production-level workflows. (1 year) 4. Evaluation Frameworks: Development of internal benchmarks and frameworks for measuring ML model performance. (1 year) 5. Strategic AI Planning: Experience partnering with product managers to translate complex business requirements into technical AI roadmaps. (1 year) 6. MLOps Best Practices: Experience establishing standards for model development, testing, and deployment. (1 year) 7. AI Ethics & Governance: Experience applying safe and responsible deployment of AI systems. (1 year) 8. Technical Proficiency: Experience with core ML programming languages and tools (e.g., Python, PyTorch, TensorFlow, or Spark). (1 year) EOE, including disability/vets. Must be legally authorized to work in the U.S. without sponsorship. To apply, please send your resume specifying Req.# L25-174375 by email to [email protected]
How this job compares
Set against the 4,931 open Data Scientist jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Utah median$129–203K/yr36 salary ranges
- US median$34–49/hr89 hourly ranges
- Openings
- Olive Jobs lists 55 open Data Scientist jobs in Utah and 4,931 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in Utah
- PwC8 open
- COTIVITI, INC.5 open
- Northrop Grumman5 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,239 postings).
- Education
- This posting asks for a master's degree; 720 of the 4,931 open Data Scientist jobs (15%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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