Data Scientist II

Company

hirify.global is a family-owned global authorized distributor of electronic components headquartered in Phoenix, Arizona.

What you will do

• Design and refine pricing and optimization models for dynamic pricing, price elasticity, margin optimization, and demand forecasting.
• Own A/B and multivariate experimentation, including hypothesis design, success metrics, guardrails, sample sizes, test duration, and rigorous result analysis.
• Apply causal inference methods such as uplift modeling, difference-in-differences, synthetic controls, and instrumental variables.
• Translate business problems into deployed prediction, classification, and recommendation models through feature engineering, training, tuning, evaluation, and deployment.
• Develop scalable Databricks data pipelines and integrate ML and experimentation systems with MLflow, CI/CD, version control, testing, and monitoring.
• Partner with software engineers, data engineers, product managers, and subject-matter experts while communicating insights and mentoring junior team members.

Requirements

• 3–5 years of professional experience as a data scientist or ML engineer, with experience deploying production ML models.
• Hands-on experience with pricing, revenue, or marketing optimization, including price elasticity, dynamic pricing, promotion optimization, or mathematical optimization.
• Strong A/B testing and experimentation skills, including power analysis, sequential testing, guardrail metrics, and interpreting real-world treatment effects.
• Hands-on Databricks experience and strong programming skills in Python, plus JavaScript, scikit-learn, PyTorch, pandas, and SQL.
• Solid knowledge of statistics, including hypothesis testing, confidence intervals, regression, and Bayesian methods.
• Master’s degree in a quantitative field, or a bachelor’s degree with 5+ years of equivalent professional experience; strong communication and independent problem-solving skills.

Nice to have

• Advanced degree in statistics, machine learning, AI, operations research, economics, or econometrics.
• Experience with B2B or ecommerce pricing, experimentation platforms, big data, streaming, Docker, Kubernetes, explainability, or responsible AI.
• Databricks Machine Learning certification.

Culture & Benefits

• Fast-paced, entrepreneurial environment emphasizing flexibility, professionalism, and a self-starter mindset.
• Affordable health insurance, 401(k) match vested from day one, tuition assistance, and employee assistance programs.
• Paid holidays, PTO, floating holidays, and personal and parental leave.
• Life and AD&D insurance, donation matching, volunteer time off, and employee resource groups.
• Equal opportunity workplace with reasonable accommodations under the ADA.