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2 дня назад

Manager III, Data Science (AI)

177 000 - 222 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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
Manager III, Data Science (AI): Building and evaluating sophisticated data science models and analyses for outdoor navigation and adventure products with an accent on statistical modeling, machine learning, experimental design, and scientific rigor. Focus on leading data scientists, guiding ambiguous research through production delivery, and applying responsible AI to improve customer outcomes.

Location: Remote within the United States; strong preference for candidates near onX offices or Basecamps. Permanent US work authorization is required. Candidates may not be employed if their primary work location is in Alabama, Alaska, Arkansas, Connecticut, Delaware, District of Columbia, Florida, Hawaii, Illinois, Kansas, Louisiana, Massachusetts, Missouri, New Jersey, New York, North Dakota, Ohio, Oklahoma, Rhode Island, South Dakota, West Virginia, or Wyoming. Quarterly travel for multiple days to a corporate office or strategic location is required.

Salary: $177,000–$222,000 upon hire, plus a 10% annual performance bonus and common share options.

Company

hirify.global builds technology products for outdoor activities including hunting, offroading, backcountry exploration, and fishing.

What you will do

  • Design, implement, and evaluate sophisticated models and analyses for complex customer and business problems.
  • Provide scientific direction on problem framing, methods, data quality, bias, leakage, uncertainty, baselines, and evaluation criteria.
  • Lead, coach, and develop a team of data scientists, including performance management, code reviews, and technical pairing.
  • Own and prioritize the Data Science roadmap with the Director of Data and cross-functional stakeholders.
  • Lead initiatives from research and exploration through production integration, evaluation, and ongoing support.
  • Partner with Product, Engineering, BI, and User Research to establish data contracts, operational ownership, privacy controls, and actionable recommendations.

Requirements

  • Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline, or equivalent advanced technical and scientific experience.
  • 8+ years of experience in data science, machine learning, or advanced analytics, including 3+ years managing and developing technical teams.
  • Experience leading, coaching, and developing data scientists, setting expectations, managing performance, and building high-performing teams.
  • Deep expertise in statistical modeling, machine learning, and experimental design, with strong hands-on Python and SQL skills and experience delivering models on cloud platforms.
  • Ability to frame ambiguous problems, design rigorous investigations, evaluate methodological trade-offs, and translate analyses into customer or business outcomes.
  • Experience leading complex data science initiatives from research through delivery while managing uncertainty, competing demands, and delivery risks.
  • Strong communication and cross-functional leadership skills, including influencing stakeholders and resolving competing priorities.
  • Ability to evaluate data quality, bias, uncertainty, model performance, and research limitations with scientific rigor.
  • Curiosity about emerging technologies, including AI, and ability to apply new tools responsibly. Shared passion for and ability to demonstrate onX's Company Values.

Nice to have

  • Experience with geospatial or temporal modeling, recommendation systems, or customer behavior analysis.
  • Experience with Google Cloud Platform, particularly BigQuery, Dataproc, or Vertex AI.
  • PhD in a related quantitative discipline.
  • Experience evaluating AI-powered product features or developing reusable research and machine learning tools and frameworks.

Culture & Benefits

  • Distributed work environment with regular in-person connection through offices and regional Basecamps.
  • Health benefits, including a no-monthly-cost medical plan, paid parental leave, and 401(k) matching.
  • Competitive compensation, annual bonus, equity, and growth opportunities.
  • Outdoor adventures, outdoor industry perks, and annual activity funds.
  • Flexible time away package including PTO, STO, VTO, and paid holidays.

Hiring process

  • Position remains open until filled.
  • Applications should be submitted through the legitimate hirify.global website or its LinkedIn page.

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