Data Scientist

Location: Lehi, United States; hybrid

Salary: $94,000–$151,000 USD annually

Company

hirify.global develops business software, data, AI, and cognitive ERP solutions that connect people, processes, and technology.

What you will do

• Analyze structured and unstructured datasets to identify trends and answer business questions.
• Develop, test, and refine statistical and analytical models.
• Prepare, clean, transform, and validate data for modeling, reporting, and experimentation.
• Build end-to-end analytical solutions with data engineers, warehouse engineers, product teams, and subject-matter experts.
• Evaluate data sources and analytical methods supporting product roadmaps and customer needs.
• Document approaches, communicate findings, and support deployment and improvement of data science solutions.

Requirements

• 2–4 years of experience in data science, analytics, statistical modeling, or a related field, including relevant internships or academic projects.
• Working knowledge of Python and SQL for analysis, preparation, modeling, and visualization.
• Understanding of statistical methods, model evaluation, and analytical problem-solving.
• Experience identifying patterns, testing hypotheses, and communicating actionable findings.
• Familiarity with databases, data warehousing, or data-processing workflows.
• Bachelor’s degree in a relevant quantitative or technical field, or equivalent practical experience.

Nice to have

• Experience or coursework involving AI, machine learning, or generative AI.
• Experience with pandas, NumPy, scikit-learn, R, or similar data science tools.
• Exposure to AI APIs, frameworks, cloud AI services, cloud data platforms, or distributed data-processing environments.
• Experience applying AI or machine learning to business, product, or customer use cases.
• Experience with Power BI, Tableau, MicroStrategy, or other visualization and business-intelligence tools.

Culture & Benefits

• Health and wellness benefits.
• Mentorship, continuing education, internal mobility, and career development opportunities.
• LinkedIn Learning access and a mentoring program.
• Inclusive global workplace with work-life balance policies.
• Support for international relocations and permanent residency processes.