Job Category: Data AI & ML Jobs
Job Type: Remote
A leading organization is seeking a lead data scientist to support advanced analytics initiatives focused on healthcare pricing and commercial strategy. This role sits within a cross‑functional environment and is responsible for analyzing large, complex pricing datasets and translating results into insights that guide competitive positioning, sales strategy, and decision‑making.
The lead data scientist operates with a high level of ownership, balancing deep analytical work with clear communication to business and technical stakeholders.
Responsibilities
- Analyze large‑scale, machine‑readable healthcare pricing data to assess cost structures and market pricing dynamics
- Evaluate and compare internal pricing logic against external benchmarks and third‑party pricing tools
- Develop quantitative models and statistical analyses to measure pricing competitiveness and variation
- Translate analytical findings into clear, business‑focused insights that inform commercial and sales strategies
- Partner with product, underwriting, and sales stakeholders to support strategic planning and decision‑making
- Build and maintain analytical pipelines, queries, and reusable frameworks in a cloud‑based data environment
- Create visualizations, dashboards, and analytical prototypes using modern business intelligence tools
- Operate independently within a squad‑based delivery model, owning analysis from problem definition through delivery
Required experience and skills
- Advanced SQL expertise, including querying and analyzing large datasets in cloud data environments
- Advanced proficiency in Python for data manipulation, analysis, and statistical modeling
- Experience working with cloud data platforms such as BigQuery or Snowflake
- Strong understanding of data modeling, pricing analysis, or large‑scale comparative analytics
- Experience using data visualization and reporting tools such as Tableau or Looker
- Ability to communicate complex analytical insights clearly to non‑technical audiences
- Strong written and verbal communication skills
- Comfort working independently in ambiguous, fast‑moving environments
- Collaborative mindset and ability to work effectively within cross‑functional teams
Nice‑to‑have experience
- Background in healthcare data domains such as payer, claims, or pricing analytics
- Experience applying statistical modeling or machine learning techniques
- Exposure to pricing strategy, benchmarking, or market analysis work
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