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Senior Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Data Scientist (AI): Building predictive models, strategic analyses, and self-service dashboards to answer business questions around customer churn, risk, growth, and expansion with an accent on machine learning, statistical analysis, and large-scale data platforms. Focus on translating ambiguous executive questions into rigorous analytical approaches, quantifying business impact, and presenting actionable insights to technical and senior stakeholders.

Location: United States; based in Alpharetta, Georgia

Company

hirify.global provides purpose-built enterprise software, ERP, supply chain management, and compliance solutions for specialized organizations across multiple industries.

What you will do

  • Partner with Strategy leadership and business stakeholders to structure ambiguous business questions into analytical approaches.
  • Analyze data from unified and multi-source data platforms to answer strategic questions for leadership.
  • Build and own predictive models, quantify business impact, and investigate customer churn, risk, growth, and expansion opportunities.
  • Perform exploratory data analysis, statistical analysis, and A/B testing to validate hypotheses.
  • Clean, preprocess, and validate large datasets from multiple internal sources.
  • Build AI-first dashboards and self-service tools, then communicate findings through visualizations and reports to technical and executive audiences.

Requirements

  • 5+ years of experience as a Data Scientist with predictive modeling experience.
  • Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Strong SQL skills and experience working with large, multi-source data platforms.
  • Strong understanding of statistics, data modeling, and machine learning algorithms.
  • Experience with large datasets, visualization tools, and MLOps practices.
  • Ability to present technical findings clearly to non-technical and senior stakeholders.

Nice to have

  • Ph.D. in a related field.
  • Experience with SparkSQL, Fabric, or Spark data frameworks.
  • Familiarity with AWS or Azure for model development and deployment.
  • Experience with Tableau, Power BI, or similar visualization tools.

Culture & Benefits

  • Competitive pay and robust benefit plans.
  • Flexible, casual, and fast-paced work environment.
  • Opportunities for career development and growth.
  • Commitment to diversity, equity, and inclusion.

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