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5 дней назад

Associate Data Scientist (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): Building and operationalizing large-scale data models and analytics for business performance and customer value with an accent on machine learning, generative AI, NLP, and statistical modeling. Focus on developing predictive and prescriptive models, productionizing algorithms through MLOps, and translating complex technical results into actionable business decisions.

Location: Stamford, Connecticut, United States; hybrid work environment. U.S. work authorization is required.

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

Company

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

What you will do

  • Execute large-scale data modeling projects that improve operational efficiency and customer value.
  • Manage the analytics lifecycle, including data wrangling, cleaning, feature engineering, model selection, validation, implementation, documentation, and maintenance.
  • Provide ad hoc modeling and analytical insights for strategic and operational initiatives.
  • Translate business requirements into actionable analytics projects and propose new analytical solutions.
  • Communicate technical findings to business stakeholders and partner with IT, project management, and business teams.
  • Apply machine learning, artificial intelligence, generative AI, natural language processing, and statistical modeling.

Requirements

  • Master’s degree, or bachelor’s degree with at least two years of related experience, in engineering, statistics, computer science, mathematics, applied mathematics, data science, or a related field.
  • Previous data modeling experience in a business environment and in-depth knowledge of statistical principles.
  • Experience developing descriptive, predictive, and prescriptive models, including techniques such as time series, random forests, clustering, neural networks, generalized linear models, optimization, design of experiments, and dimensionality reduction.
  • In-depth NLP knowledge and experience with churn analysis, profiling, and recommendation systems.
  • Expertise in Python, SQL, Spark, and MLOps; basic skills in Power BI, Excel, and PowerPoint.
  • Strong technical and business communication skills, stakeholder influence, and the ability to deliver against milestones in a fast-paced environment.

Culture & Benefits

  • Hybrid work environment with flexibility to work virtually when productive and collaborate in person when needed.
  • 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 or role-based, uncapped sales incentive plan for eligible employees.
  • Inclusive workplace with opportunities for professional growth and development.

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