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1 день назад

Data Scientist I (AI)

Формат работы
onsite
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

Текст:
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TL;DR
Data Scientist I (AI): Building, evaluating, and documenting statistical, machine learning, and AI solutions for defined business problems with an accent on Python, SQL, prompt engineering, LLM-based applications, and large-database analysis. Focus on conducting hypothesis testing and time series analysis, translating results into actionable business insights, and supporting model validation, deployment, and measurement.

Location: In-office in Phoenix, Arizona; must reside in the metro Phoenix area.

Company

hirify.global provides recycling, waste, hazardous waste, environmental, and field services across North America, with a focus on circularity, decarbonization, and sustainability.

What you will do

  • Develop and evaluate statistical, machine learning, and AI models under the guidance of senior data scientists.
  • Clean data, prepare features, perform exploratory data analysis, conduct prompt engineering, and build LLM-based applications.
  • Apply hypothesis testing, time series analysis, and basic causal or experimental analysis to identify trends and assess impact.
  • Translate analytical results into clear, actionable insights for defined business questions.
  • Participate in analysis, validation, basic deployment support, measurement, and ongoing improvement of analytics solutions.
  • Document solution designs, assumptions, data definitions, limitations, and reproducible analytical methods while collaborating with analytics engineers and business stakeholders.

Requirements

  • Bachelor’s degree in Mathematics, Computer Science, Information Management, Statistics, Engineering, or another analytical field.
  • At least 1 year of experience with advanced Python and SQL programming, complex statistical analysis, and machine learning algorithms or AI applications using large databases.
  • At least 1 year of experience working with large databases for complex analysis.
  • At least 1 year of experience with advanced statistical modeling, machine learning methods, and/or AI models.
  • Knowledge of relational databases, Excel, and Power BI, plus familiarity with Git and collaborative development practices.

Nice to have

  • Master’s degree in an analytical field.
  • Experience with cloud-based data platforms and infrastructure such as Snowflake and AWS.
  • Familiarity with AI coding assistants such as GitHub Copilot, Cursor, or Claude Code.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Health care and dependent care spending accounts.
  • Short- and long-term disability, life insurance, and accidental death and dismemberment insurance.
  • Retirement plan with a company match and an Employee Stock Purchase Plan.
  • Paid time off, employee discounts, and an Employee and Family Assistance Program.
  • Inclusive, diverse, environmentally responsible workplace guided by safety, service, and human-centered values.

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