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Blue Origin · 1 day ago

Data Analyst II

Greater Seattle Area

Full-time

Onsite

Mid, Senior Level

$116K/yr - $162K/yr

5+ years exp

Blue Origin is working to develop reusable, safe, and low-cost space vehicles and systems for the benefit of Earth. The Data Analyst II role involves contributing to the development of the company's data strategy, focusing on driving emerging technology and data practices, particularly in generative AI applications.

AerospaceManufacturingNational SecurityRenewable Energy

No H1B

U.S. Citizen Only

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

Qualification

PythonMachine LearningAWS ServicesDeep Learning FrameworksData VisualizationStatistical TechniquesAgile EnvironmentEffective CommunicationCollaboration

Required

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