Data Analyst II

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design.

As part of a hardworking team of specialists, you’ll contribute to the development of Blue Origin’s data strategy, and help design, test, and deploy standard processes for teams working on advanced data science problems. This role requires a passion for our mission and vision, and will focus on driving emerging technology and data practices to the business, specifically within the domain of generative AI applications.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Safety is our utmost priority, and we are dedicated to creating a supportive environment where everyone can thrive. Join us in making space accessible and enabling millions of people to live and work in space, for the benefit of Earth.

This position is open to be filled in our Kent, WA location.

Become part of a team where your contributions will not only further your own career but also directly advance the frontiers of space exploration

Responsibilities include but are not limited to:

• Work with Engineering Leadership to drive end-to-end project lifecycle for data analytics applications: develop relationships with customers, and collaborate with developers and business partners across the enterprise.

• Write production code that implements NLP and LLM models and algorithms, ensuring high quality, scalability, and reliability.

• Research, identify, assess, and validate emerging technologies to increase the team’s ML and AI capabilities.

• Partner with stakeholders to deliver Data products and collaborate with customers to understand business problems and explain technical solutions.

• Work in an agile environment to deliver fast-paced solutions that meet the needs of the business.

• Maintain technical responsibility, aid colleagues, and resolve technical issues through collaboration.

Minimum Qualifications

• BA/BS in computer science, information science, data science, or a related field with 5+ years of experience and 3+ years in data science.

• Proven proficiency with Python, Spark, common data science libraries, and deep learning frameworks (e.g., PyTorch, Keras, TensorFlow, OpenCV).

• Experience with AWS services (e.g., SageMaker, Bedrock, EMR, S3, Step Functions, Lambda, EC2, Redshift, Glue, Batch, Elasticsearch).

• Solid understanding of statistical and machine learning (ML) techniques; experience with supervised, unsupervised, generative, semi-supervised, self-supervised modeling approaches.

• Ability to deploy solutions using tools such as GitLab, Docker, Kubernetes, and familiarity with visualization tools like Plotly/Dash, Javascript/D3/Go.js, and Streamlit. Comfortable working with both structured and unstructured data; experience with SQL, REST APIs, and custom scripting.

• Effective communicator capable of engaging and building trust with senior executives.