Sr. Data Scientist

Launch Consulting; Bellevue (WA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k matching

Uncapped PTO policy

Job summary

Launch Consulting, located in Bellevue, Washington, is seeking a Senior Data Scientist to lead the design and development of advanced AI and machine learning solutions. This role requires over 7 years of experience in Data Science, focusing on delivering AI/ML solutions and mentoring junior team members. The company offers competitive compensation, full benefits, and an uncapped PTO policy. The anticipated wage range for this role is $140,000–180,000 depending on experience and qualifications.

Qualifications

• 7+ years of hands-on experience in Data Science, delivering AI/ML solutions.
• Deep expertise in Python libraries such as scikit-learn, TensorFlow, PyTorch.
• Strong understanding of statistical modeling and deep learning architectures.

Responsibilities

• Lead advanced Data Science initiatives from ideation to deployment.
• Develop and optimize AI/ML models for predictive analytics.
• Architect data preprocessing pipelines for clean data.

Skills

Python expertise

AI/ML solution delivery

Stakeholder management

Statistical modeling

Tools

Databricks

AWS SageMaker

Azure ML

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.