Staff Data Scientist (Databricks)

Location: Hybrid, with assignment to Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; or Tempe, Arizona. Approximately 40% in-office time each month will be required for Enterprise Technology beginning in late 2027. Applicants must be eligible to work lawfully in the United States immediately; visa sponsorship is not available.

Potential starting salary: $160,000–$220,000 per year, plus potential yearly incentive pay of up to 24% of base salary.

Company

hirify.global is an insurance and financial services organization focused on helping customers, investing in communities, and delivering digital customer experiences.

What you will do

• Lead modeling and decision science for personalized engagement across acquisition, service, and retention journeys.
• Develop propensity, churn, lifetime value, next-best-action, recommendation, prioritization, and other decision models.
• Combine behavioral, transactional, marketing, digital, and contextual signals into scalable features and decisioning approaches.
• Partner with experimentation teams to validate model-driven interventions and measure incremental business impact.
• Design measurement for model lift, calibration, treatment effectiveness, fairness, stability, and downstream customer outcomes.
• Productionize models and decision services in Databricks and connected activation platforms while guiding data requirements and mentoring technical talent.

Requirements

• Bachelor’s degree in data science, statistics, computer science, economics, engineering, mathematics, or a related quantitative field.
• 8+ years of experience applying statistical modeling, machine learning, experimentation, or decision science to complex business problems.
• Advanced proficiency in Python and SQL, with experience in modern cloud data and machine learning environments such as Databricks or comparable platforms.
• Ability to translate ambiguous business questions into analytical approaches, production-ready models, and measurable outcomes.
• Strong communication skills for explaining technical concepts, assumptions, limitations, and recommendations to technical and executive audiences.

Nice to have

• Advanced degree in a quantitative field.
• Experience in a large, regulated enterprise and with privacy, security, legal, risk, and governance requirements.
• Experience with digital customer journeys, insurance or financial services, growth analytics, personalization, experimentation, or marketing technology.
• Experience working in cross-functional product or pod-based operating models and moving work from insight to implementation.
• Focus on measurable outcomes, reusable capabilities, clear documentation, and continuous learning.

Culture & Benefits

• Hybrid work arrangement with office and home working.
• Health, dental, vision, telemedicine, mental health, and wellbeing programs.
• Training programs, tuition assistance, employee resource groups, and mentoring.
• Paid time off, paid holidays, parental leave, life leave, bereavement leave, and community service or education support days.
• Annual raise, bonus eligibility, financial coaching, and employee assistance programs.
• Retirement benefits through a 401(k) plan with company contributions of up to 7% of salary.