Assistant Director, Data Science (Machine Learning)

Location: Tempe, Arizona, United States; hybrid work with a minimum on-site expectation of three days per week

Company

hirify.global Family of Brands operates used-car sales, vehicle financing, servicing, and protection businesses through hirify.global, Bridgecrest, and SilverRock.

What you will do

• Lead a team of data scientists delivering predictive analytics, machine learning, simulation, optimization, and strategic insights.
• Advise senior leadership on data science solutions that support long-term business strategies and influence decision-making.
• Oversee machine learning models from design and training through evaluation, validation, and implementation.
• Partner with analytical, IT, business intelligence, and operations teams to build core analytical capabilities and improve processes and systems.
• Direct the design and construction of large, complex data sets from structured and unstructured internal and external data.
• Build a high-performing advanced analytics team and maintain relationships with academic and industry thought leaders.

Requirements

• 4+ years of experience in data science, machine learning, or advanced analytics, including 2+ years leading, managing, or mentoring technical analytics or data science talent.
• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Finance, Computer Science, Physics, Chemistry, or equivalent practical experience.
• Advanced proficiency in Snowflake, SQL, and Python.
• Experience with stochastic modeling, machine learning, and advanced mathematical techniques such as neural networks, simulation, or graph analysis.
• Strong record of communicating results, insights, and technical solutions to senior executives.
• Strong verbal and written communication, business acumen, creative problem-solving, intellectual curiosity, customer focus, and interpersonal and cross-functional collaboration skills.

Nice to have

• Experience using AI-assisted or automation-focused tooling to support and accelerate data science workflows.

Culture & Benefits

• Hybrid work approach balancing in-person and work-from-home environments, with at least three on-site days per week.
• Medical, dental, and vision insurance, company-paid life insurance, short- and long-term disability coverage, and a 401(k).
• Paid time off for full-time employees, including wellness days and holidays.
• Tuition reimbursement, professional growth opportunities, and a wellness program with coaching, incentives, and medical-premium discounts.
• In-house gym, smart-casual dress, employee celebrations, and a drug-free, tobacco-free workplace.
• Hiring is contingent on successful completion of background and drug screening; the employer is an Equal Opportunity Employer.