• Accurately input, update, and maintain data across multiple business and software systems • Support data migration and conversion activities as part of the Facets implementation • Perform routine data management tasks, ensuring data quality, accuracy, and completeness • Validate and reconcile data across systems to ensure consistency during migration • Identify and report data discrepancies, supporting resolution efforts • Collaborate with data teams, QA, and business stakeholders to support integration and migration activities • Follow established data governance standards and processes • Maintain documentation related to data processes, workflows, and validation activities • Support senior team members with data-related tasks and deliverables

About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious. We are looking for candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field! Join the DNA Science team as a Postdoctoral Fellow and conduct innovative research on the world’s largest genomic and pedigree database to further our knowledge on human populations and family history. What you will do: - You will analyze Ancestry’s massive-scale genomic datasets to uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference. - You will develop novel statistical models and computational methods, leveraging advanced Machine Learning and Deep Learning to solve complex genomic challenges. - You will conduct exploratory research while maintaining a focus on demonstrating progress, identifying clear next steps, and moving toward concrete milestones. - You will aim to publish original research in high-impact scientific journals and present your findings at top-tier conferences. - While your primary focus is research, you will have the chance to collaborate with other scientists to explore opportunities to integrate your research outcomes into the Ancestry DNA product ecosystem to benefit millions of customers. Who you are: - Ph.D. in Population Genetics, or Genomic Data Science, or Machine Learning (with experience applying it to genomic data). - Demonstrated expertise in applying and developing sophisticated computational methods. Experience with modern AI methods is a plus. - High proficiency in Python, C, or any other language that supports efficient, large-scale data analysis and machine learning. - A mindset for critical thinking and innovation, with a demonstrated ability to show results and progress while in an exploratory mode. - Strong communication skills to present complex genomics and statistical concepts to both technical and non-technical audiences. 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 candidates who live in San Francisco, CA, 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.

• Building and delivering high quality data architectures and pipelines that support clients, business analysts, and data scientists. • Interfaces with other technology teams to extract, transform, and load [ETL] data from a wide variety of data sources. • Continually improve ongoing reporting and processes, as well as automate or simplify self-service for clients. • Develop, code, and deploy scripts written in the Python programming language, as Python is the language of Data. • Assemble large, complex datasets to meet both functional and non-functional requirements. • Build high-performance algorithms, predictive models, and proofs of concept while using modern programming languages and tools to integrate systems and manage complex data workflows. • Ensure the data strategies and architectures are in compliance with regulatory requirements. • Work with business executives to ensure the data architecture aligns with business requirements. • Optimize data retrieval, develop dashboards, reports and perform database maintenance tasks. • Collaborate closely with data scientists, helping to ensure that the organization's data infrastructure meets the requirements of complex data analytics.

Role Description The Intern will play a vital role in advancing the company's capabilities in computer vision and fraud detection projects, as well as contributing to research and development initiatives. The incumbent will assist in various tasks related to biometric data collection, algorithm testing, and model validation. Proficiency in Python, along with knowledge of machine learning and MATLAB, is essential for success in this role. Familiarity with AWS and SageMaker is advantageous. - Assist in computer vision and fraud detection projects by contributing to algorithm testing, model validation, and biometric data collection. - Utilize Python, MATLAB, and deep learning libraries such as PyTorch and TensorFlow for image processing and analysis tasks. - Collaborate with the research team to implement benchmarking metrics and perform ROC analysis. - Ensure accuracy in data collection, labeling, and algorithmic testing by paying meticulous attention to detail. - Develop and optimize SQL queries to extract and analyze data for machine learning model training. - Communicate effectively with team members through written and verbal channels to provide updates on project progress and findings. Qualifications - Availability to start immediately is required. - Enrollment in a graduate program in computer science, computer/electrical engineering, or related fields. - Proficiency in Python with working knowledge of image processing libraries. - Understanding of benchmarking metrics. - Attention to detail and ability to adapt and learn quickly in a fast-paced environment. Requirements - Knowledge of different biometric modalities, eKYC, and presentation attacks. - Understanding of databases, cloud computing, and storage, particularly AWS data and ML pipelines such as SageMaker and S3 buckets. - The compensation is $23 per hour. Jumio Values - Integrity - Diversity - Empowerment - Accountability - Leading Innovation Equal Opportunities Jumio is a collaboration of people with different ideas, strengths, interests, and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.