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About the Role
Develop automated analytics products and advanced data science solutions to address complex business and client questions, improving clinical, operational, and economic outcomes. Operate in an environment of ambiguity and rapid learning, translating emerging concepts into testable solutions through experimentation and iterative development. Evaluate feasibility, refine approaches, and partner with teams to advance capabilities from research to production.
Responsibilities
- Develop data science solutions, automated analytics products, and actionable insights across multiple projects and domains with minimal guidance.
- Translate emerging concepts and business needs into testable solutions through experimentation, rapid prototyping, validation, and iterative development.
- Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data.
- Evaluate technical and business feasibility, analyze results, and refine models and methods through successive development cycles and continuous feedback.
- Apply expertise across data discovery, structuring, cleaning, enrichment, statistical design, modeling, validation, deployment, and insight delivery.
- Make autonomous analytical decisions related to exploratory analysis, model development, methodology selection, visualization, and deployment based on project objectives.
- Analyze complex datasets and communicate exploratory and predictive findings through clear insights and visualizations for technical and non-technical audiences.
- Develop and revise technical code, apply data science best practices, and provide guidance to other data scientists on analytical approaches and solution development.
- Partner with product, engineering, and platform teams to advance promising capabilities from research and prototyping through pilots, production readiness, and ongoing enhancement.
- Evaluate emerging data science methods, tools, and technologies to identify opportunities to improve analytical capabilities and client solutions.
Requirements
- 5 or more years of relevant experience required.
- Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies.
- Experience with experimentation, prototyping, model evaluation, validation, and iterative solution development.
- Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization.
- Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies.
- Experience working with complex datasets, including data discovery, preparation, enrichment, validation, normalization, and integration of disparate data sources.
- Experience with analytics, cloud-based, or distributed data platforms such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies.
- Ability to navigate ambiguity and evolving requirements while translating emerging concepts into practical, testable solutions.
- Strong analytical and problem-solving skills with the ability to assess feasibility, make autonomous project-level decisions, and refine approaches based on evidence and feedback.
- Strong communication and collaboration skills with the ability to convey complex analytical concepts to technical and non-technical clients and work effectively across product and technical teams.
Skills
- Statistical modeling
- Predictive analytics
- Machine learning
- Natural language processing
- Generative AI
- Advanced data science methodologies
- Experimentation
- Prototyping
- Model evaluation
- Validation
- Iterative solution development
- Data preparation
- Feature engineering
- Model development
- Deployment
- Visualization
- Python
- R
- SQL
- SAS
- MATLAB
- Java
- Data discovery
- Data enrichment
- Data normalization
- Data integration
- Databricks
- Apache Spark
- Hadoop
- Tableau
- Analytical decision-making
- Problem-solving
- Communication
- Collaboration
Experience Level
- 5 or more years of relevant experience
Education Level
- Relevant degree preferred
Salary/Compensations
- $102,400.00 to $179,000.00
Benefits
- Comprehensive benefits plan
- Incentive eligible
About the Company
- We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves.
- We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Equal Opportunity
- Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
- The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.