Principal AI Data Science Engineer (Go-To-Market)

Location: Northridge, California, United States; on-site work required four days per week

Salary: $153,000–$261,000 USD annually for California roles

Company

hirify.global is a full-stack insulin delivery company developing intelligent dosing systems and predictive insights for people living with diabetes.

What you will do

• Develop, validate, monitor, and maintain predictive models and forecasts for growth opportunities, revenue potential, customer behavior, market dynamics, and competitive threats.
• Own customer targeting, prioritization, and tiering methodologies to focus commercial resources on high-value opportunities.
• Quantify market opportunities and business impact to support investment decisions and strategic initiatives.
• Translate analytical findings into recommendations for resource allocation, product launches, territory design, and growth priorities.
• Partner with commercial leaders to improve forecasting and growth planning using historical performance, market trends, and leading indicators.
• Build early-warning intelligence and maintain accurate, explainable, documented methodologies that respond to changing market conditions.

Requirements

• Bachelor’s degree with at least 7 years of relevant experience, or an advanced degree with at least 5 years of relevant experience.
• At least 5 years of experience in data science, analytics, business analytics, operations analytics, customer analytics, insights, or a related field, including ownership of complex cross-functional initiatives.
• Experience using AI-enabled tools for data investigation, automation, dashboard development, data visualization, or insight generation.
• Proficiency in Python, R, or a similar programming language, applying statistical or machine learning methods to large, complex datasets and business problems.
• Experience with SQL and modern analytics environments, including dbt, cloud data warehouses, and data visualization platforms.

Nice to have

• Master’s degree or PhD in data science, analytics, statistics, or another relevant quantitative discipline.
• Experience applying natural language processing to business problems.
• Experience deploying and maintaining analytical or machine learning models in cloud environments, including version control, testing, monitoring, and model governance.
• Experience in medical technology, medical devices, or healthcare, especially using customer, provider, market, or sales data for commercial strategy.
• Experience with predictive models, forecasting, customer segmentation, targeting, revenue forecasting, market opportunity sizing, and resource allocation.
• Experience managing the analytical lifecycle from problem definition and data preparation through implementation, documentation, performance monitoring, and stakeholder communication.
• Ability to communicate complex technical findings as actionable recommendations, work independently, and exercise sound judgment regarding data quality, privacy, responsible AI, and model limitations.
• Ability to adapt quickly in a fast-paced, evolving environment.

Culture & Benefits

• Full-time employee position with competitive compensation and flexible benefits.
• Health, dental, and vision insurance; Health Savings Account; Healthcare Flexible Spending Account; life insurance; disability coverage; and dependent daycare spending account.
• 401(k) plan with company match, paid time off, holidays, incentive plans, Employee Stock Purchase Plan, and Employee Assistance Program.
• Eligible employees may receive additional retirement and capital accumulation benefits subject to applicable earnings requirements.
• Position is eligible for a short-term incentive plan.