Data Scientist (Applied AI Senior Engineer)

Ancestry; Draper, Northern (UT, KY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Ancestry.com Operations Inc. seeks a Data Scientist (Applied AI Senior Engineer) in Draper, UT. The role focuses on researching AI/ML problems and deploying models to production, building scalable data science platforms, and driving product innovation across teams.

The position requires a Master’s degree and at least 1 year of relevant experience, with full-time telecommuting permitted from anywhere in the U.S.

Qualifications

• Master’s degree in Data Science, Computer Science, or a closely related field.
• 1 year of experience in the job offered or a related occupation.
• Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

• Conduct research into fundamental computer and information science problems and develop solutions in AI/ML.
• Develop ML/AI models and deploy them into production and build AI platforms.
• Collaborate with data scientists to build scalable, general-use data science tooling.
• Use data science to drive product innovation, customer success, and content creation.
• Formulate mathematical models for computational solutions.

Skills

Python

Machine learning

Clustering algorithms

Deep learning

Knowledge graph

Model development

Education

Master’s degree in Data Science, Computer Science, or related field

Job description

Ancestry.com Operations Inc. seeks Data Scientist (Applied AI Senior Engineer) in Draper, UT

Job Duties: Conduct research into fundamental computer and information science problems and develop solutions in the field of computer hardware and software. Apply theoretical expertise and innovation to create and apply new technology, such as developing ML/AI solutions, deploying data science ML/AI models into production and building AI platforms. Work with other data scientists to find and solve engineering pain points by building scalable, general-use platforms. Use data science to drive product innovation, customer success, and content creation. Develop tooling and infrastructure to support data scientists with model development. Champion a data-driven culture and push long-term business value creation through development of best-in-class data science tools. Develop solutions involving computer hardware and software. Draw upon machine learning techniques i.e. entity extraction, document classification, topic modeling, computer vision methods, object detection, and image classification to optimize model performance. Support model development, feature engineering, and develop feature generation pipelines. Formulate mathematical models of problems for solution by computers. Full-time telecommuting permitted from anywhere in the U.S.

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Computer Science, or a closely related field plus 1 year of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Python
2. Machine learning
3. Clustering algorithms
4. Deep learning
5. Knowledge graph
6. Model development

EOE, including disability/vets.

Must be legally authorized to work in the U.S. without sponsorship.