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11 часов назад

Digital & IT Leadership Development Program Associate - Predictive Data Science

79 000 - 88 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
Digital & IT Leadership Development Program Associate - Predictive Data Science (Predictive Data Science): Applying data science, advanced analytics, machine learning, and AI to business challenges across four six-month rotations with an accent on predictive modeling, connected product insights, and decision support. Focus on building and deploying machine learning solutions, supporting MLOps pipelines, and translating data-driven insights into business decisions.

Location: Medina, Minnesota, USA; rotation placements may also include Plymouth, Wyoming, and Roseau, Minnesota; Huntsville, Alabama; Wilmington, Ohio; and Vermillion, South Dakota. The program requires willingness to travel and relocate, reliable transportation, and daily transportation to the office.

Salary: $79,000–$88,500 per year in Minnesota.

Company

hirify.global is a global powersports company developing off-road vehicles, snowmobiles, electric vehicles, motorcycles, boats, parts, garments, and accessories.

What you will do

  • Complete four six-month rotations across a two-year Digital & Information Technology Leadership Development Program.
  • Analyze business, customer, product, and operational data to deliver insights and recommendations.
  • Build, train, evaluate, and deploy predictive models for forecasting, optimization, personalization, and operational decisions.
  • Explore generative AI, agentic AI, large language models, deep learning, and other emerging technologies.
  • Support scalable machine learning pipelines, model monitoring, automation, and continuous improvement.
  • Collaborate with data scientists, data engineers, product teams, business stakeholders, and technology leaders.

Requirements

  • U.S. work authorization without future sponsorship requirements is required.
  • Bachelor’s or Master’s degree in Data Science or a related field, with graduation between August 2026 and May 2027.
  • Minimum overall GPA of 3.0.
  • Ability to start on January 11, 2027, or June 14, 2027.
  • Proficiency in Microsoft Office, including Outlook, Excel, Word, Teams, and SharePoint.
  • Leadership experience and demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.

Nice to have

  • Internship, co-op, research, or project experience in data analytics, data science, machine learning, artificial intelligence, or statistical modeling.
  • Experience identifying trends, developing insights, or supporting data-driven recommendations.
  • Familiarity with predictive analytics, data visualization, and machine learning concepts.
  • Ability to communicate data-driven insights to technical and non-technical audiences.
  • Curiosity and interest in learning new technologies and analytical techniques.

Culture & Benefits

  • Mentorship from a functional business leader throughout the program.
  • Structured and self-guided leadership development opportunities.
  • Networking with peers and hirify.global leaders, plus community engagement opportunities.
  • Three-day Early Talent Summit Week in the Wyoming, Minnesota office, including professional development and networking.
  • Relocation assistance may include a lump sum, moving support, lease cancellation or duplicate housing reimbursement, and relocation counseling.
  • Benefits include 401(k) matching, profit-sharing, tuition reimbursement, health, dental and vision insurance, paid time off, wellness programs, and employee stock programs.

Hiring process

  • Applications are reviewed on a rolling basis throughout the fall.
  • Selection includes a phone screen, business screen, and virtual interview with HR and business leaders.
  • Rotation placements depend on business needs, individual interests, and development goals.

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