Senior Data Science Engineer

Key Skills

AWS, Cloud computing, Data Architecture, Infrastructure-as-code-IaC, Large scale data processing, Machine learning techniques, MLflow, MLOps tools, Python Programming, SPARK Programming

Job Description

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 30+ billion digitized global historical records, 125+ million family trees, and 22+ 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.

Ancestry is looking for a talented Senior Data Science Engineer to join our Data Science Engineering team. The Data Science Engineering team works with our data scientists to design and build production data pipelines for external and internal customers. If you enjoy developing the systems used to process massive volumes of data quickly and reliably, resulting in meaningful discoveries for our customers, this is the job for you.

You will...

• Partner with data scientists and development teams to deploy models as part of production systems
• Work with stakeholders to design data architectures and interfaces
• Write new data pipeline jobs to retrieve, process and validate training data
• Create tooling and automation to enable MLOps best practices throughout the system
• Create infrastructure for our services using our Infrastructure as Code (IAC) framework
• Mentor other engineers on software engineering best practices

Who you are...

• Bachelor’s Degree in related field required
• 5 or more years related experience
• Solid understanding of MLOps Principles
• Expertise in Python
• Experience with cloud computing, preferably Amazon Web Services (AWS)
• Experience working on or managing projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross-functional teams
• Experience with large scale data processing frameworks such as Apache Spark and MLflow

As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $80,000 - $226,000 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process.