Designs systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems
Defines data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions
Designs and develops data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data
Applies data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making
Develops and implements analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance
Collaborates with stakeholders across the organization, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions
Delivers presentations and consultative services to existing and prospective constituents on data analytics results and solutions
Improves professional data science knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages
Helps establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices

Requirements

5+ years of experience in advanced analytics, decision science, applied AI/ML
Strong programming skills in Python and SQL, with experience deploying AI systems in cloud environments (GCP, AWS, or Azure)
Deep expertise in at least one area of advanced modeling: predictive analytics, reinforcement learning, NLP, or causal inference
Experience implementing agentic AI systems for conversational analytics, autonomous reporting, or decision support
Familiarity with Vertex AI and Google Cloud Platform, or equivalent enterprise AI platforms
Proven ability to translate complex AI concepts into business impact, including stakeholder alignment and business value sizing
Experience leading end-to-end AI-driven solution delivery: from data foundation to model orchestration to front-end adoption
Hands-on experience with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, RAG)
Strong communication, storytelling, and customer engagement skills, with a passion for building solutions that are intuitive and impactful

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data-oriented programming languagesdata miningdata modelingnatural language processingmachine learningpredictive analyticsreinforcement learningPythonSQLlarge volume data analysis

Soft Skills

communicationstorytellingcustomer engagementcollaborationstakeholder alignmentdecision-makingconsultative servicesproblem-solvingorganizational skillspassion for building solutions