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3 дня назад

Data Scientist (AI)

84 500 - 162 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Data Scientist (AI): Building predictive and prescriptive models and end-to-end data science applications for Operations Quality, Product, and Process analytics with an accent on statistical analysis, machine learning, deep learning, and Gen AI. Focus on overseeing analytical projects, ensuring study integrity and regulatory compliance, and translating complex technical concepts into business decisions.

Location: North Chicago, Illinois, United States

Salary: $84,500–$162,000 per year

Company

hirify.global develops medicines and solutions for serious health issues across immunology, oncology, neuroscience, and aesthetics.

What you will do

  • Build and oversee predictive and prescriptive models using statistical, machine-learning, deep-learning, and Gen AI methods.
  • Deliver data science applications, studies, and proof-of-concept projects across Operations Quality, Product, and Process analytics.
  • Consult with business users, analyze requirements, and recommend solutions aligned with changing business needs.
  • Collaborate with data scientists, senior functional leaders, business partners, and technology partners.
  • Ensure analytical work products, stakeholder presentations, and studies maintain integrity and are fit for purpose.
  • Develop KPIs, reports, and statistical analyses while supporting innovation and process improvement initiatives.

Requirements

  • Bachelor’s or master’s degree in statistics, mathematics, analytics, bioinformatics, data science, or a related field; PhD holders may qualify with no prior experience.
  • Related experience: 4+ years with a bachelor’s degree, 2+ years with a master’s degree, or 0+ years with a PhD.
  • Intermediate proficiency in R, Python, or other statistical packages, plus statistical and data-mining techniques.
  • Intermediate proficiency with Power BI, Spotfire, Tableau, or equivalent visualization tools.
  • Intermediate proficiency with Dataiku, Snowflake, Databricks, or equivalent data science platforms.
  • Strong communication, problem-solving, analytical, prioritization, coaching, and mentoring skills.

Nice to have

  • Experience with machine learning and advanced analytics techniques.

Culture & Benefits

  • Cross-functional collaboration with data science teams, business partners, and senior leaders.
  • Opportunities to mentor and coach junior team members.
  • Paid vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) and eligibility for short-term incentive programs.
  • Work governed by applicable regulations, Good Manufacturing Practices, ICH Guidelines, and internal quality standards.

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