Data Analyst II

Blue Origin • Southgate, WA

7d

About The Position

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

Requirements

• 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.

Nice To Haves

• Bachelor of Science in CS, Physics, Math, Engineering, or other STEM fields.
• Expertise in sophisticated model selection, hyper-parameter tuning, explainability techniques in deep learning models.
• Experience with fastapi/flask for model deployment and building visualizations.
• Track record of innovative literature research to develop novel Data Science applications.
• Experience with network/graph analysis, crafting visualizations, and Gurobi with LP/IP program optimization models.

Responsibilities

• 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.

Benefits

• Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
• Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion.
• Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees