1

Mid Level Bayesian Statistics Jobs in Seattle, WA

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

Mentor and support the development of junior and mid-level data scientists through code reviews ... Strong understanding of statistical modeling, regression, classification, clustering, and deep ...

Principal Data Scientist

Redmond, WA · On-site

$130K - $277K/yr

As a Principal Technical Support Engineer, you will engage with executive level customers and ... Advanced statistics - deep command of inference, uncertainty quantification, and both Bayesian and ...

Project management experience with mid-level projects including tracking hours and expenses for ... Experience with environmental statistics and site closure strategies is highly desired.

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

... statistical analysis, and reporting. * Perform professional environmental science work and assist ... low to mid-level threat mitigation and permitting activities projects to minimize impacts to the ...

Project management experience with mid-level projects including tracking hours and expenses for ... Experience with environmental statistics and site closure strategies is highly desired.

... statistical analysis, and reporting. * Perform professional environmental science work and assist ... low to mid-level threat mitigation and permitting activities projects to minimize impacts to the ...

And as industry leaders we're always innovation-bringing stat-of-the-art equipment and services to ... For mid-level providers and above (NP, PA, MD, ND and DO), provide in clinic GFE (good faith exam ...

Power Systems Engineer

Tacoma, WA · On-site +1

$113K - $159K/yr

This is an entry-level to mid-level Engineering position that has growth potential into the ... The ability to analyze and display data to identify statistical trends and relationships with off ...

And as industry leaders we're always innovation-bringing stat-of-the-art equipment and services to ... For mid-level providers and above (NP, PA, MD, ND and DO), provide in clinic GFE (good faith exam ...

And as industry leaders we're always innovation-bringing stat-of-the-art equipment and services to ... For mid-level providers and above (NP, PA, MD, ND and DO), provide in clinic GFE (good faith exam ...

Showing results 21-40

Mid Level Bayesian Statistics information

What is the difference between Mid Level Bayesian Statistics vs Data Scientist?

AspectMid Level Bayesian StatisticsData Scientist
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentResearch-focused, analytical, often in finance, healthcare, or academiaCross-functional teams, data analysis, machine learning, business insights
Industry UsageStatistical modeling, probabilistic analysis, research projectsData analysis, predictive modeling, data visualization

Mid Level Bayesian Statistics specialists focus on advanced probabilistic modeling and statistical inference, often in research or specialized industries. Data Scientists have a broader scope, combining statistical analysis with programming and machine learning to solve business problems. While both roles require strong analytical skills, Bayesian statisticians typically emphasize probabilistic models, whereas Data Scientists integrate multiple techniques for data-driven decision-making.

What are popular job titles related to Mid Level Bayesian Statistics jobs in Seattle, WA?

For Mid Level Bayesian Statistics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mid Level Bayesian Statistics jobs in Seattle, WA look for?

The top searched job categories for Mid Level Bayesian Statistics jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Mid Level Bayesian Statistics jobs?

Cities near Seattle, WA with the most Mid Level Bayesian Statistics job openings:

Sr. Data Scientist

Launch Consulting

Bellevue, WA • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description


Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here.
The Role:
As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques.
Key Responsibilities:
  • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes.
  • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.
  • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development.
  • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation.
  • Apply experimental design best practices (e.g. A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting.
  • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.).
  • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices.
  • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing.
  • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions.

Required Qualifications:
  • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments.
  • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face.
  • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures.
  • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems.
  • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases.
  • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale.
  • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry.
  • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment.
  • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively.

Preferred Qualifications:
  • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies.
  • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD).
  • Certifications related to Epic, FHIR, or other health IT platforms are a plus.
  • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation.
  • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery.

Benefits & Compensation:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
The consulting industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the recruiter to ensure it's from @launchcg.com - and not a domain with an alternative extension like .net, .org or .jobs. Candidate safety is a top priority at Launch.
Launch Consulting is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your Launch representative, or contact us, so that we can discuss the appropriate alternatives available.