Senior Data Scientist

Job Title: Senior Data Scientist, Marketplace

Location: Hyderabad

About Us:
Storable operates the largest online marketplace for self storage, helping millions of consumers find and reserve storage units across thousands of facilities nationwide. Our two-sided platform connects storage operators with renters, enabling smarter pricing, increased occupancy, and better visibility for operators—while simplifying the search and booking experience for consumers. We're growing fast and committed to using data as a competitive advantage in modernizing this legacy industry.

The Role:
We're looking for a Senior Data Scientist to join our Marketplace team and help shape the future of self storage through data. In this role, you'll lead high-impact initiatives that drive liquidity, optimize search and matching, and improve monetization across our platform. You'll partner cross-functionally to inform product strategy, develop models that enhance customer experience and operator performance, and bring structure to a traditionally opaque industry.

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.