Senior Data Scientist, Handwriting Recognition - Lehi/SF/Remote

Ancestry

San Francisco California

United States

Scientific Research
(No Timezone Provided)

JOB DESCRIPTION About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery. With more than 27+ billion digitized global historical records, 100 million family trees, and 18 million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.We are growing our Data Science team in Lehi, UT and San Francisco, CA and looking for a Senior Data Scientist to join our global Data Science & Machine Learning Team. You’ll have the opportunity to work alongside a high functioning group tackling Ancestry’s toughest and most exciting data science challenges, and with unique text data spanning decades across a variety of media channels. 

You will...

  • Use data science to drive product innovation, customer success, content creation across our Family History business.
  • Champion a data-driven culture and push long-term business value creation through development of best-in-class Data Science capabilities.
  • Leverage Natural Language Processing and Computer Vision to build handwriting recognition models that are able to extract information from our billions of genealogical and census records.

  • Who you are...

  • Bachelor’s Degree in Computer Science, Statistics, or other data-related field coupled with 4 + years industry experience in machine learning and statistical modeling OR
  • Master’s Degree in Computer Science, Statistics, or other data-related field coupled with 2+ years industry experience in machine learning and statistical modeling OR
  • PhD in Computer Science, Statistics, or other data-related field coupled with some industry experience in machine learning and statistical modeling
  • Experience with machine learning techniques ie: entity extraction, document classification, topic modeling, computer vision methods, object detection, image classification, and handwriting recognition
  • Proven track record of completing multiple data science projects end-to-end; from idea generation, objectives formulation, to implementation and deliverables
  • Strong proficiency in Python, experience with Java, SQL, and multi-threaded programming preferred
  • Experience building deep learning models using tools like TensorFlow and Pytorch
  • Strong preference for experience building ML models for handwriting recognition
  • Bonus: Experience with top-tier publications in machine learning domains (e.g., ICDAR, ICFHR, CVPR, ICCV, ACL, EMNLP, PAMI, ICML, JMLR, etc.) 

  • Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb.We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers#GDSponsored#IND2#LI-MK1 Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means. Apply Now

    Senior Data Scientist, Handwriting Recognition - Lehi/SF/Remote

    Ancestry

    San Francisco California

    United States

    Scientific Research

    (No Timezone Provided)

    JOB DESCRIPTION About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery. With more than 27+ billion digitized global historical records, 100 million family trees, and 18 million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.We are growing our Data Science team in Lehi, UT and San Francisco, CA and looking for a Senior Data Scientist to join our global Data Science & Machine Learning Team. You’ll have the opportunity to work alongside a high functioning group tackling Ancestry’s toughest and most exciting data science challenges, and with unique text data spanning decades across a variety of media channels. 

    You will...

  • Use data science to drive product innovation, customer success, content creation across our Family History business.
  • Champion a data-driven culture and push long-term business value creation through development of best-in-class Data Science capabilities.
  • Leverage Natural Language Processing and Computer Vision to build handwriting recognition models that are able to extract information from our billions of genealogical and census records.

  • Who you are...

  • Bachelor’s Degree in Computer Science, Statistics, or other data-related field coupled with 4 + years industry experience in machine learning and statistical modeling OR
  • Master’s Degree in Computer Science, Statistics, or other data-related field coupled with 2+ years industry experience in machine learning and statistical modeling OR
  • PhD in Computer Science, Statistics, or other data-related field coupled with some industry experience in machine learning and statistical modeling
  • Experience with machine learning techniques ie: entity extraction, document classification, topic modeling, computer vision methods, object detection, image classification, and handwriting recognition
  • Proven track record of completing multiple data science projects end-to-end; from idea generation, objectives formulation, to implementation and deliverables
  • Strong proficiency in Python, experience with Java, SQL, and multi-threaded programming preferred
  • Experience building deep learning models using tools like TensorFlow and Pytorch
  • Strong preference for experience building ML models for handwriting recognition
  • Bonus: Experience with top-tier publications in machine learning domains (e.g., ICDAR, ICFHR, CVPR, ICCV, ACL, EMNLP, PAMI, ICML, JMLR, etc.) 

  • Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb.We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers#GDSponsored#IND2#LI-MK1 Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means. Apply Now