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7 дней назад

Data Scientist II - Decision Science (ML)

156 300 - 234 500$
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 II - Decision Science (ML): Building predictive models and experimentation frameworks for platform engagement, product features, and games with an accent on machine learning, causal inference, and advanced statistical analysis. Focus on designing large-scale A/B tests, integrating complex datasets with SQL, and translating sophisticated analyses into actionable recommendations for stakeholders.

Location: United States, San Mateo, California

Salary: $156,300–$234,500 USD per year

Company

hirify.global, operated by Sony Interactive Entertainment, develops gaming hardware, network services, software titles, and entertainment experiences for a global audience.

What you will do

  • Analyse large and complex datasets using advanced statistical and machine learning techniques.
  • Develop predictive models and estimate causal relationships using experimentation and causal inference methods.
  • Define business problems and hypotheses with cross-functional partners, then design experiments to test them.
  • Extract and integrate data from multiple systems using complex SQL queries.
  • Present analytical results and translate technical findings into actionable stakeholder recommendations.
  • Track developments in data science, including causal inference, Gen AI, and machine learning, and share knowledge with colleagues.

Requirements

  • Master’s degree or Ph.D. in applied mathematics, economics, statistics, engineering, or a related quantitative field, plus at least 2 years of relevant industry experience; a bachelor’s degree may be considered with additional experience.
  • Advanced experience applying machine learning methods with Python and SQL.
  • In-depth knowledge of supervised and unsupervised machine learning techniques.
  • Experience with online experimentation, large-scale A/B tests, and causal inference methods including propensity score matching, synthetic controls, and difference-in-differences.
  • Familiarity with Git, Airflow, and common development and workflow practices.
  • Strong communication and data storytelling skills for explaining technical concepts to non-technical partners.

Nice to have

  • Industry experience in entertainment, gaming, technology, or another consumer-facing sector.
  • Knowledge of the gaming industry and relevant gaming titles.
  • Familiarity with Gen AI tools and pipelines.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Matching 401(k), paid time off, and a wellness program.
  • Employee discounts on Sony products.
  • Potential eligibility for a bonus package.
  • Inclusive workplace focused on diversity, equal opportunity, and innovation.

Hiring process

  • Background checks are conducted at the offer stage and may include criminal background checks for some roles.

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