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6 дней назад

Data Scientist (AI)

Формат работы
remote (только USA)
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

Текст:
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TL;DR
Data Scientist (AI) (Machine Learning/NLP): Building predictive and prescriptive analytics, data products, and conversational analytics capabilities from Snowflake and other data sources with an accent on statistical modeling, machine learning, natural-language processing, and business insight generation. Focus on designing experiments, validating hypotheses, deploying data products, and translating complex analyses into actionable recommendations for non-technical stakeholders.

Location: Remote

Company

hirify.global is a member-focused cooperative serving members across all 50 states through financial products and services.

What you will do

  • Develop predictive and prescriptive analytics solutions using statistical modeling, machine learning, artificial intelligence, and quantitative analysis.
  • Extract, cleanse, explore, and analyze complex data from Snowflake and other sources, including feature engineering and data quality analysis.
  • Build data products, dashboards, visualizations, and conversational analytics capabilities that support member and business outcomes.
  • Lead data discovery sessions, elicit requirements, validate hypotheses, identify growth opportunities, and influence process improvements through experimentation.
  • Prepare reports and recommendations, communicate project milestones, and translate complex findings into actionable plans for non-technical audiences.
  • Collaborate with data engineers, analysts, and business stakeholders; direct quality assurance testing and mentor data analysts.

Requirements

  • Remote position.
  • Bachelor’s degree in data science, applied mathematics, statistics, or machine learning required.
  • 5+ years of experience in a data scientist role required.
  • Experience applying statistical modeling, supervised and unsupervised machine learning, artificial intelligence, and natural-language processing to business problems.
  • Proficiency in Snowflake, Python, R, SQL, basic machine learning, and data visualization tools.
  • Strong communication skills, including the ability to analyze data quickly and explain complex insights to non-technical audiences.

Culture & Benefits

  • Remote-first work environment with a focus on collaboration, high performance, and professional development.
  • 25 days of paid time off, 10 paid holidays, and 16 hours of paid Volunteer Time Off.
  • 401(k) retirement plan with up to a 6% employer match.
  • Health, dental, vision, life, short-term disability, and long-term disability insurance, plus a health savings account with employer contributions.
  • Tuition reimbursement of $4,000–$7,000 per calendar year and an annual professional development stipend.

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