Назад
Company hidden
3 дня назад

Data Scientist (AI)

175 100 - 236 900$
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) (Econometrics/Digital Media): Building and scaling production-ready econometric and machine learning models, quantitative tools, and data pipelines for pricing, experimentation, product optimization, and business decisions with an accent on causal inference, model deployment, and AI-enabled analytics. Focus on translating ambiguous business questions into quantitative frameworks, integrating models into cross-functional workflows, and mentoring junior scientists.

Location: Newark, New Jersey, US

Salary: $175,100–$236,900 annually

Company

A global producer and provider of audio storytelling serving millions of listeners through immersive digital media experiences.

What you will do

  • Build and scale econometric and machine learning models and quantitative tools from scoping through data pipelining, feature engineering, model development, production deployment, impact measurement, and adoption.
  • Research AI-driven and other emerging tools, techniques, and data sources for quantitative analysis.
  • Collaborate with Product, Content, Marketing, economists, analysts, and data scientists to integrate solutions into cross-functional workflows and executive decision-making.
  • Represent the team in reviews with senior scientists and business leaders.
  • Mentor junior scientists and help develop scalable, AI-enabled analytical work.

Requirements

  • Master’s degree or above in statistics, mathematics, data science, business analytics, economics, finance, engineering, computer science, or another quantitative field, or a PhD.
  • 2+ years of hands-on applied or industry experience using Python and SQL with large datasets, empirical analysis, modeling, and data visualization.
  • Experience formulating and solving loosely defined optimization or measurement problems.
  • Familiarity with economic methods and reasoning, including causal thinking, incentive design, and counterfactual frameworks, with willingness to learn new econometric methodologies.
  • Fluency in the mathematical foundations of statistics, machine learning, and economics.
  • Experience applying econometric methods at scale, including structural modeling and observational causal inference, to pricing or sales optimization, investment decisions, experimentation science, or product optimization in digital media.
  • Experience with model monitoring, debugging, and long-term maintenance in production environments.
  • Familiarity with financial and accounting metrics or methods.
  • Intellectual curiosity about customer value and business outcomes, plus comfort leading ambiguous projects from zero to one.

Culture & Benefits

  • Inclusive culture focused on creativity, collaboration, and equitable communities.
  • Health, dental, vision, prescription, life, employee assistance, and mental health support benefits.
  • Flexible Spending Accounts and adoption and surrogacy reimbursement coverage.
  • 401(k) matching, paid time off, and parental leave.
  • Additional compensation may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.

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