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1 день назад

Associate Data Scientist - Spring 2027 Master's Level Graduates (AI)

90 000 - 118 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Data Scientist (AI/ML): Building and operationalizing data-driven models and analytics that improve operational efficiency and customer value with an accent on statistical modeling, NLP, predictive analytics, and machine learning. Focus on feature engineering, model validation, MLOps implementation, and translating business requirements into production-ready analytical solutions.

Location: Irving, Texas, United States; hybrid work environment. U.S. work authorization is required.

Salary: $90,000–$118,000 annually, plus eligible bonus or incentive compensation.

Company

hirify.global provides research, analysis, and business and technology insights to enterprise leaders and their teams.

What you will do

  • Execute large-scale, high-impact data modeling projects from design and validation through operationalization, maintenance, and documentation.
  • Conduct data wrangling, cleaning, analysis, feature engineering, model selection, development, validation, and implementation.
  • Provide ad hoc modeling and analytical insights for strategic and operational initiatives.
  • Translate business requirements into actionable analytics projects and propose data-driven innovations.
  • Communicate technical solutions and analytical results to business stakeholders.
  • Partner with business stakeholders, IT, and project management to deliver analytics solutions using machine learning, AI, generative AI, NLP, and statistical modeling.

Requirements

  • Master’s degree, or bachelor’s degree with at least two years of related experience, in data science, statistics, computer science, mathematics, engineering, or a related field.
  • Professional data modeling experience in a business environment and strong knowledge of statistical principles.
  • Experience developing descriptive, predictive, and prescriptive models, including time series, random forests, clustering, neural networks, generalized linear models, optimization, DOE, and dimensionality reduction.
  • In-depth NLP experience, plus experience with churn analysis, profiling, recommendation systems, and MLOps.
  • Expertise in Python, SQL, and Spark; basic skills in Power BI, Excel, and PowerPoint.
  • U.S. work authorization is required. Strong communication and stakeholder-influence skills are also required.

Culture & Benefits

  • Hybrid work environment with flexibility to work virtually when productive and collaborate in person.
  • Generous paid time off and market-leading benefits.
  • 401(k) match of up to $7,200 per year.
  • Opportunity to purchase company stock at a discount.
  • Annual bonus plan or role-based, uncapped sales incentive plan, where applicable.
  • Inclusive workplace with opportunities for professional growth and development.

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