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2 дня назад

Senior Data Scientist (Healthcare)

143 374 - 210 544$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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