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3 дня назад

Data Scientist II (AI)

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 (AI/Python/SQL): Developing and refining statistical, machine learning, and AI solutions for complex operational, commercial, and customer experience problems with an accent on generative AI, large language models, cloud data platforms, and analytical modeling. Focus on building scalable models and AI applications, diagnosing issues such as bias and drift, performing experimentation and time series analysis, and translating findings into business decisions.

Location: In-office in Phoenix, Arizona, USA; candidates must reside in Phoenix

Company

hirify.global is an environmental services company providing recycling, waste, hazardous waste, special waste, and field services across North America.

What you will do

  • Develop, evaluate, refine, and scale statistical, machine learning, and AI models.
  • Monitor models and diagnose issues involving data limitations, bias, drift, hallucination detection, embeddings, vector search, semantic retrieval, and model assumptions.
  • Perform hypothesis testing, prompt engineering, time series analysis, and experimentation measurement.
  • Partner with business stakeholders to define requirements and analytical approaches.
  • Translate analytical findings into clear recommendations for technical and non-technical audiences.
  • Collaborate with analytics engineering and platform teams to integrate solutions into downstream systems and document assumptions, data definitions, and limitations.

Requirements

  • Bachelor’s degree in mathematics, computer science, information management, statistics, engineering, or another analytical field.
  • At least 3 years of experience working with large databases and performing complex analysis.
  • At least 3 years of experience with advanced statistical modeling, machine learning methods, and/or AI models.
  • At least 3 years of advanced programming experience in Python and SQL, including complex statistical analysis and building machine learning algorithms or AI applications in cloud environments.
  • Strong knowledge of relational data concepts, cloud data platforms, and infrastructure such as Snowflake and AWS.
  • Knowledge of Excel and Power BI, plus experience using Git for version control.

Nice to have

  • Master’s degree in an analytical field.
  • Experience with pricing optimization, customer segmentation, churn or lifetime value, logistics, route optimization, maintenance optimization, or customer experience analytics.
  • 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 company match and employee stock purchase plan.
  • Paid time off, employee discount programs, and an Employee and Family Assistance Program.

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