Data Scientist

Company: Society of Exploration Geophysicists
Location: San Ramon
Posted on: May 9, 2025

Job Description:

Company DescriptionAt Trek Health, we're on a mission to pull back the curtain on healthcare pricing. What started as a small team of data wonks and industry veterans has grown into a platform our customers call "the most accurate, value-driven transparency tool on the market." We're backed by $16 million from investors who believe deeply in our mission-Madrona Ventures, Lionheart Ventures, Altman Capital, Founder Collective, and founders/C-suite leaders from multiple unicorn startups. If you want to build something that truly moves the needle for hospitals, health systems, and the patients they serve, you belong here.Role Description

• Job Title: Data Scientist
• Level: Mid-Senior to Senior (Emerging Leader)
• Manage People: No (individual contributor; you'll drive initiatives and influence cross-functionally)
• Extract Actionable Insights: Leverage advanced analytics, statistical modeling, and machine learning to uncover key trends, anomalies, and opportunities in our payer transparency data.
• Client-Facing Analytics: Partner with health systems and provider organizations to translate raw data into clear, impactful insights that empower better decision-making.
• Scalable Data Solutions: Design and implement reusable data science frameworks, models, and pipelines that form the backbone of our insights engine.Key Responsibilities1 - Advanced Analytics & Modeling
  • Develop predictive and prescriptive models to address client challenges (e.g., rate negotiation, network optimization)
  • Apply statistical methods and ML algorithms to extract key metrics and forecasts2 - Client Engagement & Insight Delivery
    • Lead discovery sessions with clients to understand their KPIs and analytical needs
    • Present findings through compelling reports, dashboards, and presentations3 - Data Pipeline & Infrastructure
      • Collaborate with engineering on data quality, scalability, and governance
      • Build reusable data science components and maintain thorough documentation4 - Cross-Functional Collaboration
        • Work with product, engineering, and customer success to integrate analytical models into the platform
        • Advocate for data-driven features and best practices across teams5 - Metrics & Impact Tracking
          • Define success criteria and measure the impact of your models on client outcomes
          • Continuously monitor model performance and recalibrate as needed30/60/90 Day Plan30 Days--- Onboard: data architecture, ETL processes, key datasets, and platform tools--- Analyze a high-priority use case; deliver a "quick-win" insight to the team--- Meet with 5-7 clients to surface top analytical needs60 Days--- Develop and deploy first analytical model; integrate into a client dashboard or report--- Present model outcomes to customers; gather feedback and iterate--- Draft a roadmap for next data science initiatives with prioritized impact90 Days--- Deliver a second, higher-complexity model with demonstrable client impact--- Establish a standard process for client-facing analytics (templates, playbooks, docs)--- Define metrics to track data science ROI and set up monitoring alertsSkills & ExperienceMust-Haves--- 4+ years in data science, analytics, or ML roles, preferably in B2B SaaS or healthcare--- Proficiency in Python/R, SQL, and statistical/ML libraries (scikit-learn, TensorFlow, etc.)--- Experience building and deploying analytical models at scale--- Strong data visualization and storytelling skills (Tableau, Looker, Power BI, etc.)Superpower--- You transform complex datasets into clear, actionable insights that drive decisionsTradeoffs We Can Make--- Healthcare domain expertise can be balanced by exceptional analytical and technical skillsNice-to-Haves--- Familiarity with payer transparency or claims data--- Experience with big data technologies (Spark, Hadoop)--- Published work or contributions to open-source data science projectsIdeal Attributes
            • Roll-Up-Your-Sleeves Mentality: You dive into raw data and aren't afraid of complex pipelines.
            • Client Obsessed: You tailor analyses to each customer's context and goals.
            • Collaborative Thinker: You partner cross-functionally to operationalize insights.
            • Fast Learner: You quickly absorb new data domains and statistical techniques.
            • Outcome Driven: You focus relentlessly on the metrics that matter to clients and the business.Demonstrated Success--- Delivered a predictive model that drove a measurable uplift in revenue or cost savings.--- Built client-facing dashboards adopted as core decision-support tools.--- Personal data projects or publications that showcase your passion and expertise.Why You'll Love This Role--- Ownership: Pioneer our data science practice and shape how insights power our platform.--- Impact: Your analyses will directly influence how health systems negotiate and manage costs.--- Team: Join a scrappy, mission-driven crew that values data-driven decision making.Positives--- Autonomy to experiment with advanced analytics and ML.--- Regular client interaction and executive visibility.Challenges--- Early-stage environment: you'll build both models and processes from the ground up.--- Ambiguity: data structures and client needs will evolve rapidly; adaptability is key.
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Keywords: Society of Exploration Geophysicists, South San Francisco , Data Scientist, Other , San Ramon, California