Senior Data Scientist

Job Title:

Location:

About Us:

The Role:

This is an ideal opportunity for a deeply analytical, product-oriented thinker who thrives in a fast-moving environment and is excited to shape the evolution of a digital marketplace in a historically offline space.

What You’ll Do:

• Analyze marketplace dynamics across supply and demand, uncovering insights to improve conversion, fill rates, and operator performance.


• Design and evaluate experiments that test pricing strategies, inventory prioritization, and incentive programs for both consumers and storage operators.


• Build predictive models for customer acquisition, lead quality scoring, pricing elasticity, and churn forecasting.


• Partner with Product, Engineering, and Sales to develop tools and dashboards that guide marketplace health and operator decision-making.


• Support the rollout of new features (e.g., dynamic pricing, lead routing, inventory optimization) with data validation, success metrics, and performance analysis.


• Develop frameworks to balance occupancy and revenue across regions, seasons, and storage types.

What You Bring:

• 7+ years of experience in data science, ideally with exposure to marketplaces, real estate, local services, or platform ecosystems.


• Strong statistical background with expertise in experimentation, causal inference, and regression modeling.


• Proficiency in SQL and Python; experience working with large-scale data sets and modern data stacks (e.g., dbt, Airflow, Snowflake).
  Proven success influencing product strategy and commercial decisions using data.


• A practical, iterative approach to modeling—balancing speed with rigor in a real-world environment.


• Experience collaborating cross-functionally with PMs, engineers, analysts, and business leaders.


• Comfort navigating noisy or incomplete data, especially in fragmented industries like self storage.

Bonus Points For:

• Experience building pricing, search, or lead quality models in a lead-gen or vertical marketplace business.


• Understanding of the self storage industry, including occupancy economics, customer behavior, and regional trends.

Familiarity with geospatial analysis, customer segmentation, or recommender systems.