Senior Data Scientist
Hyderabad, Telangana, India
Storable
An integrated self-storage technology solution that helps owners and operators run their business the way they want.Job Title: Senior Data Scientist, MarketplaceĀ
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 operatorsāwhile simplifying the search and booking experience for consumers. Weāre growing fast and committed to using data as a competitive advantage in modernizing this legacy industry.
The Role:
Weāre looking for a Senior Data Scientist to join our Marketplace team and help shape the future of self storage through data. In this role, youāll lead high-impact initiatives that drive liquidity, optimize search and matching, and improve monetization across our platform. Youāll 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 Youāll 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 modelingābalancing 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Airflow Causal inference CX dbt Economics Engineering Python Recommender systems Snowflake SQL Statistics
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