Senior Data Scientist (Demand Planning)

Location: San Diego, California, United States

Salary: $149,500–$202,500 base pay annually, with potential bonus, equity, and benefits.

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Own end-to-end demand forecasting across pre-season, in-season, and off-season planning horizons.
• Build, validate, and maintain time-series, regression, causal, machine learning, and scenario models using business and customer signals.
• Produce interval-level, daily, and weekly forecasts with documented assumptions, drivers, risks, and confidence intervals.
• Monitor actuals against forecasts, analyze funnel conversion and emerging signals, and improve models through post-season retrospectives.
• Build dashboards and data products that communicate demand trends, forecast risk, and business impact.
• Partner with Workforce Management, Capacity Planning, Finance, Marketing, Product, Data Engineering, and senior stakeholders.

Requirements

• 3+ years of experience in data science or quantitative analytics focused on forecasting, demand planning, or time-series modeling.
• Strong Python and SQL skills, including pandas, statsmodels, and scikit-learn, with experience working in large-scale data environments.
• Hands-on experience building, validating, deploying, and independently reviewing production or operational forecasting models.
• Ability to frame ambiguous business problems as analytical questions and communicate recommendations through data storytelling.
• Bachelor’s or Master’s degree in Statistics, Data Science, Operations Research, Mathematics, or a related quantitative field.
• Comfort working in ambiguous, fast-moving environments and supporting high-stakes operational periods.

Nice to have

• Experience with A/B/n experiments, causal inference, propensity scores, difference-in-differences, or synthetic controls.
• Experience applying AI/ML or GenAI to forecasting and evaluating accuracy, latency, and cost.
• Experience defining KPIs across multiple business lines or broad portfolios.
• Exposure to workforce management, capacity planning, contact-center, or expert-network demand.

Culture & Benefits

• Competitive compensation with a pay-for-performance approach.
• Potential eligibility for cash bonus, equity rewards, and employee benefits.
• Work with cross-functional partners on high-visibility forecasting and operational planning initiatives.