Senior Data Scientist

Job title: Senior Data Scientist

About the Role Senior Data Scientist to lead the design and deployment of advanced ML/AI solutions that solve complex business challenges. You will set technical direction, mentor teammates, and collaborate with stakeholders to translate use cases into scalable data-driven products, including GenAI, LLMs, NLP, and computer vision.

What You'll Do

• 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 domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.
• Conduct 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.

What We're Looking For

• 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.

Nice to Have

• 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 (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.

Compensation & Benefits

• The anticipated wage range for this role is $140,000-180,000 USD per year.
• 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.