Senior Data Scientist, Growth Marketing

Description

The company builds AI that makes the physical world respond to people, aiming to remove repetitive friction so that being recognized gives access, comfort and a sense of belonging. It calls this shift the Recognition Economy.

Current work includes drive-in and drive-out parking for millions of members, with plans to extend the same intelligence layer into retail and hospitality.

The company's product and engineering teams work across parking, mobility and real estate.

This is a senior role on the growth marketing data team, where you would be the main quantitative partner to growth marketing leadership. You would turn large volumes of real-world transaction and behavior data into work that drives user acquisition, retention and gross profit.

Responsibilities

• Build, ship and improve predictive models for multi-touch attribution, customer lifetime value and customer acquisition cost efficiency, to guide how the marketing budget is split across channels.
• Run detailed cohort and retention analyses to find what drives conversion, repeat use and churn across the location-based growth funnel.
• Own the growth experiment roadmap: design, run and analyze A/B tests, geo-experiments, holdout tests and incrementality studies across digital and physical channels.
• Work directly with growth marketing and finance leaders to improve unit economics, justify spend against gross profit targets and set channel growth goals.
• Work with analytics and data engineering to define event tracking, build scalable growth data pipelines and create automated executive dashboards.
• Use advanced AI tools and modern analytics methods to turn manual analysis workflows into fast, high-output processes.

Requirements

• Bachelor's or Master's degree in computer science, mathematics, statistics, economics or another quantitative field.
• 6+ years as a data scientist or analytics lead, with a clear focus on growth marketing, performance media or adtech.
• Advanced Python and SQL for complex data work, statistical modeling and predictive analytics.
• Deep knowledge of growth measurement, multi-touch attribution, cohort retention modeling and LTV/CAC dynamics.
• Hands-on work with statistical experiments and causal inference, including A/B testing, geo-testing, synthetic controls and media mix modeling.
• Strong business judgment and a record of working with senior executives in growth, product and finance to produce measurable bottom-line gains.
• Clear analytical, problem-solving and communication skills, so that complex findings are easy to act on.
• Experience using AI tools to turn static workflows into responsive, high-output processes.
• Plus: experience with AWS S3, SageMaker and Airflow.
• Plus: experience with cloud data warehouses and tools such as Snowflake, dbt, Looker and Tableau.
• Plus: familiarity with media mix modeling frameworks such as Robyn and LightweightMMM.
• Plus: hands-on machine learning work with scikit-learn, TensorFlow or PyTorch, applied to user segmentation or churn prediction.
• Plus: ability to write clean, efficient, robust and well-commented code for high-quality data science work.

Conditions

Corporate team members work in the office at least four days a week, under an office-first model.

The anticipated base salary is $170,000 USD to $200,000 USD per year. Actual pay depends on qualifications, years of relevant experience, distinctive skills, education, certifications or licenses, and location of residence or workplace.

The company may use an automated employment decision tool to assess candidates against the job requirements. It keeps the related data for as long as reasonably needed for the tool's use, and if you are hired, that data may become part of your employee record.

Benefits

• Healthcare coverage.
• A 401(k) plan.
• Short-term and long-term disability coverage.
• Basic life insurance.
• A stock option plan.
• Bonus plans.
• Other total compensation elements.