Senior Data Scientist, Growth Marketing (AI)

Location: Los Angeles, California, United States. Office-first model requiring employees to work on-site at least four days per week. Other listed locations include Chicago, Nashville, New York, and Seattle, United States.

Base salary: $190,000–$220,000 USD annually, plus bonus plans, stock options, healthcare benefits, 401(k), disability coverage, and life insurance.

Company

hirify.global develops artificial intelligence and technologies for parking, mobility, retail, hospitality, and real estate, including seamless drive-in and drive-out experiences.

What you will do

• Design, deploy, and refine predictive models for multi-touch attribution, customer lifetime value, and customer acquisition cost efficiency to guide multi-channel marketing budgets.
• Perform cohort analyses and retention modeling to identify drivers of conversion, repeat behavior, and churn across the location-based growth funnel.
• Lead the experimentation roadmap through A/B tests, geo-experiments, holdout tests, and incrementality studies across digital and physical acquisition channels.
• Partner with Growth Marketing and Finance leadership to optimize unit economics, connect marketing spend to gross profit targets, and set channel-level growth goals.
• Collaborate with analytics and data engineering teams on event tracking, scalable growth data pipelines, and automated executive dashboards.
• Use advanced AI tools and modern analytics frameworks to transform static analytical workflows into responsive, high-output processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
• 6+ years of experience as a Data Scientist or Analytics Lead, with a distinct focus on growth marketing, performance media, or adtech.
• Advanced proficiency in Python and SQL for complex data manipulation, statistical modeling, and predictive analytics.
• Deep expertise in growth measurement frameworks, multi-touch attribution, cohort retention modeling, and LTV/CAC dynamics.
• Hands-on experience with statistical experimentation and causal inference, including A/B testing, geo-testing, synthetic controls, and media mix modeling.
• Strong business acumen and experience partnering with senior executives in Growth, Product, and Finance to drive measurable bottom-line growth.
• Excellent analytical, problem-solving, and communication skills, including the ability to make complex data stories intuitive and actionable.
• Experience using AI tools to transform static workflows into responsive, high-output processes.

Nice to have

• Experience with AWS S3, SageMaker, and Airflow.
• Experience with Snowflake, dbt, Looker, and Tableau.
• Familiarity with Media Mix Modeling frameworks, including Robyn and LightweightMMM.
• Experience with scikit-learn, TensorFlow, or PyTorch for user segmentation or churn prediction.
• Ability to write clean, efficient, robust, and well-commented code for high-quality data science procedures.

Culture & Benefits

• Office-first environment with at least four days per week on-site to support in-person collaboration.
• Inclusive culture where every voice is heard and the best idea wins.
• Opportunity to work with product leaders and engineers on technologies at the intersection of parking, mobility, and real estate.
• Healthcare benefits, 401(k), short-term and long-term disability coverage, and basic life insurance.
• Stock option plan, bonus plans, and other total compensation benefits.