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9 дней назад

Data Science Associate, CMO (AI)

60 200 - 100 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
c1
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
Data Science Associate, CMO (AI): Developing advanced analytics and experimental approaches for marketing, field force promotion, and commercial decision-making with an accent on large-scale data analysis, machine learning, and statistical rigor. Focus on designing novel analytical projects, building hands-on Python and ML solutions, and translating performance and customer insights for North America commercial stakeholders.

Location: New York City, United States; hybrid, with onsite work required 2.5 days weekly.

Annual base salary: $60,200–$100,400, plus eligibility for a 7.5% performance bonus.

Company

hirify.global develops pharmaceutical and healthcare products and uses commercial analytics to support data-driven business and patient-impact decisions.

What you will do

  • Develop secondary data analyses of marketing and field force promotional efforts.
  • Design and execute customized analytical projects addressing unstructured, high-priority business questions.
  • Apply statistical and data mining techniques to large datasets to identify trends, facts, and opportunities.
  • Collaborate with cross-functional teams and senior CMO stakeholders to align analytics with commercial objectives.
  • Partner on experimental design and maintain statistical and methodological rigor across proofs of concept.
  • Use R, SQL, and Python for hands-on analysis, coding, experimentation, and communication of results.

Requirements

  • BA/BS degree and relevant data analyst experience.
  • STEM background with quantitative emphasis, such as actuarial science, statistics, computer science, operations research, economics, or engineering.
  • Fluent English, written and verbal.
  • Strong hands-on Python coding ability and working knowledge of PyTorch, TensorFlow, or scikit-learn.
  • Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, or similar.
  • Basic experience with AWS, Azure, Snowflake, or GCP; Docker experience is a plus.
  • Understanding of ML/AI fundamentals and experimental design basics, including train/test splits, evaluation metrics, and avoiding common pitfalls.
  • Collaborative, results-oriented, able to manage multiple priorities, and willing to perform meaningful coding and experimental work rather than purely managerial work.
  • Must be authorized to work in the United States by any employer and hold permanent U.S. work authorization; U.S. visa sponsorship is not available.

Nice to have

  • Prior hirify.global Future internship experience.
  • Experience in pharmaceutical commercial analytics or management consulting.
  • Knowledge of the pharmaceutical healthcare space, including IQVIA and Rx/Sales.
  • Container experience with Docker.

Culture & Benefits

  • Collaborative, dynamic, and fast-paced environment with colleagues across the globe.
  • Full-time hybrid work arrangement with regular onsite attendance.
  • Benefits include 401(k) matching and retirement contributions, paid vacation and holidays, caregiver/parental and medical leave, and medical, prescription, dental, and vision coverage.
  • Relocation assistance may be available based on business needs and eligibility.

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