2 дня назад
Senior Data Scientist (Healthcare)
143 374 - 210 544$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Healthcare): Building data products and algorithmic pricing systems that use machine learning, statistical modeling, and optimization to improve healthcare campaign pricing and decision-making with an accent on explainable pricing, demand signals, willingness-to-pay, and expected ROI. Focus on deploying and monitoring production models, optimizing prices under constraints, and mentoring data science team members.
Location: Cincinnati, Ohio, United States, or remote within the US. Travel up to 20 days per year.
Base salary: $143,374–$210,544 per year.
Company
is a digital health company delivering behavior-changing content across a large network of physician offices to improve patient decisions and health outcomes.
What you will do
- Develop data products addressing provider growth, pricing, operations, marketing, campaign measurement, and customer attrition.
- Advance algorithmic pricing by modeling supply, demand, willingness-to-pay, and expected return on investment.
- Design systems that dynamically adjust prices as business conditions change.
- Build interpretability into pricing systems so price changes and exception decisions are explainable and consistent.
- Apply machine learning, statistical modeling, and constrained optimization to campaign goals and business constraints.
- Mentor and coach less experienced data science team members.
Requirements
- Bachelor’s degree in applied statistics, computer science, economics, operations research, business analytics, information systems, or a related field.
- 6+ years of data science experience developing data products, deploying production models, and delivering analyses to stakeholders.
- Fluency in Python and SQL with end-to-end experience in data manipulation, analysis, visualization, model deployment, and pipeline orchestration.
- Advanced knowledge of predictive modeling, model validation and selection, network analysis, price elasticity estimation, and constrained optimization.
- Experience managing models through their lifecycle and monitoring model performance.
- Strong communication, consulting, critical-thinking, and cross-functional collaboration skills.
Nice to have
- Master’s or doctoral degree in a related quantitative or technical field.
- Experience in healthcare, pharmaceuticals, value-based pricing, B2B pricing, or digital advertising.
- Experience with Snowflake, Cursor, Airflow, HEX, or Gurobi.
Culture & Benefits
- Collaborative work with engineering, product management, pricing, and other cross-functional teams.
- Flexible time off, hybrid work options, mental and emotional wellness resources, and a 401(k) plan.
- Full-time employees receive a comprehensive benefits package and competitive compensation.
Hiring process
- Provide examples from previous experience and/or complete an analytics project that produces actionable insights.
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