Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная практическая работа в data science у крупной фармкомпании: обязанности и инструменты описаны четко, но требуется постоянное разрешение на работу в США.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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