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12 дней назад

Data Scientist / Technical Analyst (AI)

89 210 - 144 960$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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 / Technical Analyst (AI/IoT): Building machine learning, Generative AI, and analytics solutions for fleet management, equipment failure prediction, and operational optimization with an accent on time-series sensor data, telematics, and statistical modeling. Focus on developing predictive models, evaluating and fine-tuning AI systems, analyzing equipment reliability, and supporting connected digital products.

Location: Chicago and Peoria, Illinois; limited opportunities in Dallas, Texas. Basic relocation may be available depending on qualifications.

Salary: $89,210–$144,960 annually

Company

hirify.global develops industrial equipment and digital capabilities spanning connectivity, enterprise data, analytics, AI, equipment management, eCommerce, and digital product solutions.

What you will do

  • Develop machine learning, deep learning, statistical, and physics-based models using time-series sensor data, fault codes, inspections, and analysis records.
  • Identify equipment health anomalies, predict failure modes, estimate remaining useful life, and build equipment risk models.
  • Develop and evaluate Generative AI solutions, including model training, prompt engineering, agents, assistants, and chatbots.
  • Perform reliability monitoring, incident response, automation development, root-cause investigations, performance optimization, and continuous improvement.
  • Support global telematics connectivity programs involving cellular, satellite, Wi-Fi, Bluetooth, and other technologies.
  • Provide digital technical support for hirify.global applications and products.

Requirements

  • Bachelor’s degree or higher in data science, computer engineering, electrical engineering, or a related field, completed by the start date.
  • 0–2 years of relevant experience; internships, academic projects, research, hackathons, student organizations, and coursework are valued.
  • Minimum cumulative GPA of 3.0/4.0, without rounding.
  • Knowledge of business statistics, analytical thinking, machine learning, programming, database access, and requirements analysis.
  • Experience or foundational skills with Python, SQL, cloud platforms, data visualization, IoT and telematics data, and statistical modeling.
  • Visa sponsorship is not available now or in the future.

Culture & Benefits

  • Medical, dental, and vision benefits, subject to eligibility.
  • Paid time off, holidays, and volunteer time.
  • 401(k) savings plans, HSA, and FSA.
  • Career development, tuition reimbursement, and incentive bonus opportunities.
  • Life insurance, disability benefits, parental leave, adoption benefits, employee assistance, and voluntary benefits.

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