Lead Data Scientist

OUR COMPANY HCEsquared® is a leading healthcare solutions platform developed by healthcare specialists for healthcare specialists to elevate patient care. We serve our community of clinicians by delivering practical clinical and non-clinical content through digital and in-person connections ​. We provide our clinicians with solutions to serve their patients through onsite and digital educational content based on the newest and best therapies and techniques from respected thought leaders in the field of dermatology as well as services to enhance their career trajectories. Our offerings have been proven to enhance clinician confidence, demonstrated by our exceptional audience and partner retention rates for our ecosystem . For more details on our clinician offerings and continuing medical education, please visit our portfolio companies on the hcesquared.com website. Our conferences can be viewed at www.dermsquared.org WHY JOIN HCESQUARED®? At HCEsquared®, our mission is simple: elevate patient outcomes by elevating the people who deliver care. When you join us, you become part of a team that blends healthcare expertise, educational excellence, and a shared commitment to making a measurable impact. Meaningful Work Your contributions directly strengthen the skills and performance of healthcare professionals. Your work ultimately improves patient lives. Growth-Driven Culture We develop our people through coaching, stretch assignments, and opportunities to lead. Your professional growth isn’t a perk, it’s a priority. Values-Led Teamwork You’ll collaborate with high-performing colleagues who care about integrity and continuous improvement. Empowered Innovation We encourage new ideas and give you the autonomy to innovate and improve processes. Flexibility With Accountability Remote work creates the flexibility you need while maintaining the high expectations for performance, communication, and ownership. THE ESSENTIALS This role is best suited for individuals who thrive in a fast-paced, entrepreneurial environment and bring a proven track record of delivering results through strong partnership and influence. Vision – the ability to zoom out, define what “good” looks like, and clearly communicate that direction across and beyond the organization. Strategic problem solving – the ability to translate vision into action by breaking complex opportunities or challenges into simple, executable strategies. Grounded Leadership – the ability to lead with confidence in direction while demonstrating humility in execution, taking ownership, seeking input, and adapting as new information emerges. Accountability and collaboration – the ability to take ownership of outcomes while motivating others to work effectively across the organization and setting clear expectations. Grit – the willingness and ability to overcome challenges, move beyond ideas, and consistently drive results. JOB DESCRIPTION Title: Lead Data Scientist Reporting To: Chief Digital, Technology & Data Officer (CTDO) Location: Remote (U.S.) Applicants must be legally authorized to work in the United States. HCEsquared® does not sponsor or assume sponsorship of employment visas. ROLE SUMMARY We are hiring a Lead Data Scientist to build the measurement and AI capabilities that define how HCEsquared creates and demonstrates value — for pharmaceutical sponsors, for HCPs on our platform, and for every new specialty we enter. You are building the function, not inheriting one. The role sits at the intersection of classical ML and modern AI: causal lift measurement, next-best-action engines, recommendation systems, and LLM-assisted analytical workflows. ACCOUNTABILITY Lift measurement framework producing sponsor-facing outputs that support premium contract conversations Decisioning and recommendation models live in production and personalizing the HCP experience at scale Audience scoring infrastructure refreshing on cadence and integrated into commercial targeting workflows LLM and generative AI capabilities integrated across the data science workflow, not siloed ML platform infrastructure operational — experiment tracking, model registry, A/B testing, and production monitoring Roadmap maintained and ready to extend into new specialty markets RESPONSIBILITIES Shape the data science roadmap: Identify measurement, audience, and AI capabilities that create value in each specialty market, and build a function that scales with the business. Build causal lift measurement: Own the framework that demonstrates how HCP engagement drives real-world prescribing change — matched and synthetic controls, lookalike populations, methodologies defensible to pharmaceutical medical affairs and legal, and repeatable across therapeutic areas. Build decisioning and personalization systems: Develop next-best-action, recommendation, and audience intelligence models that personalize the HCP experience and identify high-value audiences for sponsor targeting at scale. Apply LLMs and generative AI across the workflow: Use them for structured extraction, feature engineering, insight generation, and HCP profile enrichment — wherever they cut time-to-insight without compromising rigor. Translate findings into commercial products: Turn model outputs into sponsor-facing measurement reports, audience intelligence packages, and ROI dashboards, and present methodology directly to pharmaceutical medical affairs and commercial teams. Own the ML platform layer: Feature engineering, experiment tracking, model registry, A/B and holdout frameworks, and production monitoring on the company's cloud and data warehouse stack. REQUIREMENTS Demonstrated leadership essentials as described above 4-year degree from an accredited academic institution 5+ years in applied data science, ML engineering, or a closely related quantitative field, with production models deployed — not just research prototypes Production-quality Python and advanced SQL; hands-on experience with a modern cloud data warehouse at scale (e.g., Snowflake, BigQuery, Databricks) Experience deploying models on a major cloud ML platform (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) and working with modern ML tooling — feature stores, experiment tracking, model registries, A/B testing, and production monitoring Hands-on experience applying LLMs and generative AI — prompt engineering, structured extraction, RAG, or LLM-assisted feature generation — with judgment about when LLMs add value vs. when classical methods do Strong causal inference and experimental design background — matched and synthetic controls, difference-in-differences, propensity score matching, instrumental variables Experience building recommendation, next-best-action, or audience scoring systems at scale using behavioral and third-party data Able to communicate statistical methodology and model behavior clearly to non-technical audiences, including commercial and medical affairs stakeholders Healthcare, life sciences, pharma analytics, or digital health experience strongly preferred; experience with real-world claims or HCP data, or scaling capabilities across multiple markets, is a plus SALARY & BENEFITS This is an opportunity to do meaningful work, grow your impact, and continue developing your expertise within a high-performing, mission-driven organization. Salary is commensurate with experience and qualifications. HCEsquared® offers a comprehensive benefits package designed to support the health, flexibility, and professional growth of our team, including: Fully remote work environment with a flexible time off policy Dedicated professional development support , including reimbursement for approved learning and development activities. Comprehensive wellness benefits , including medical, vision, and dental coverage, with a significant portion of premiums subsidized for employees and eligible dependents, as well as access to HSA, FSA, and Dependent Care FSA plans Employer-paid life insurance , short-term disability, and long-term disability coverage 401(k) retirement plan with company matching Cell phone reimbursement for business use Home office stipend to support a productive remote setup

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