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Data Scientist

Blue Origin

Blue Origin

location-iconMountlake Terrace, WA, 98043

jobtype-iconOther

dateposted-icon25 October 2025

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  4. Data Scientist job in Mountlake Terrace, WA, US

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 the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems. Built for multiple uses, our family of engines is powering the next generation of rockets for commercial, civil, national security, and human spaceflight.
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
Key Responsibilities:

  • Work with Engine's AI Strategist to drive end-to-end project lifecycle for generative AI applications: develop relationships with customers, and collaborate with developers and business partners across the enterprise.
  • Develop and implement machine learning, AI, and computer vision solutions using real-world data to solve complex problems.
  • Own Physics-based Signal Processing Tool Development, Maintenance, and Support
  • Write production code that implements NLP and LLM models and algorithms, ensuring high quality, scalability, and reliability.
  • Advocate and work with partners to align the AI strategy for AI/ML adoption
  • Research, identify, assess, and validate emerging technologies to increase the team's ML and AI capabilities.
  • Own the data science, AI/ML strategy for Engines
  • Partner with stakeholders to deliver Data Science 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.
Qualifications:
  • BA/BS in computer science, information science, data science, or a related field with 8+ years of experience; 5+ years in data science, or 3+ years hands-on experience with computer vision models.
  • 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.
Desired Qualifications:
  • Masters or PhD in CS, Physics, Math, Engineering, or other STEM fields.
  • Experience productizing vision-based models, time-series big-data processing, and applying advanced ML algorithms for anomaly detection.
  • Familiarity with large language models (LLM), pre-training/fine-tuning techniques, and the open-source community (e.g., HuggingFace, StableDiffusion).
  • 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.
Compensation Range for: WA applicants is $137,049.00-$191,868.60 Other site ranges may differ
Culture Statement
Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Export Control Regulations
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Background Check
  • Required for all positions: Blue's Standard Background Check
  • Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical
Benefits
  • Benefits include: 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.
  • Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
  • Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.
Equal Employment Opportunity
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here.
Affirmative Action and Disability Accommodation
Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
California Applicant Privacy Notice
If you are a California resident, please reference the CA Applicant Privacy Notice here.

Frequently asked questions

Are you looking for job openings with Blue Origin near Mountlake Terrace, WA, US? You'll find plenty of opportunities in nearby cities, including Bellevue, WA, Renton, WA, Auburn, WA, Bainbridge Island, WA, Black Diamond, WA, Bonney Lake, WA, Bothell, WA, Bremerton, WA, Carnation, WA, Edmonds, WA, Everett, WA, Federal Way, WA, Gig Harbor, WA, Issaquah, WA, Kenmore, WA, Kent, WA, Kirkland, WA, Lynnwood, WA, Maple Valley, WA, Medina, WA. These locations offer remote jobs, part-time jobs, and full-time positions with Blue Origin. Check out current job listings in these cities to discover more employment opportunities and local jobs hiring now in your area.

If you're searching for companies hiring now in Mountlake Terrace, WA, US, several top employers are offering a variety of job opportunities. These include Circle K Stores, Inc. and more. Whether you're looking for entry-level positions, work-from-home jobs, or immediate hire roles, you'll find plenty of local job listings in Mountlake Terrace, WA, US.

Data engineer, Specialists

A data scientist analyzes and interprets complex data to help organizations make informed decisions. they use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. they also communicate their findings to stakeholders in a clear and actionable manner.

Yes, data scientists are scientists. they apply scientific methods, mathematics, and statistics to extract insights and knowledge from data. they work in various fields, such as technology, finance, healthcare, and more, to analyze and interpret complex data sets.

To become a data scientist, follow these steps: 1. obtain a strong foundation in mathematics and statistics. 2. learn programming skills, particularly in languages like python or r. 3. gain experience with data analysis tools such as sql, tableau, or powerbi. 4. familiarize yourself with machine learning algorithms and libraries like scikit-learn or tensorflow. 5. build a portfolio of projects showcasing your data analysis and modeling skills. 6. stay updated with the latest trends and advancements in the field.

Data scientists analyze and interpret complex data to help organizations make informed decisions. they use statistical models, machine learning algorithms, and data visualization tools to extract insights from large datasets. they also often work on predictive modeling and data-driven problem-solving.

A bachelor's degree in mathematics, statistics, computer science, or a related field is often considered suitable for a data scientist role. however, many data scientists also have advanced degrees such as a master's or ph.d. in data science, statistics, or a related field. practical experience with programming languages like python, r, or sql, and a strong understanding of machine learning and statistical analysis are also crucial.

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