Senior Data Scientist
Senior Data Scientist
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Job Description
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 operatorswhile simplifying the search and booking experience for consumers. Were growing fast and committed to using data as a competitive advantage in modernizing this legacy industry.
The Role:
Were looking for a Senior Data Scientist to join our Marketplace team and help shape the future of self storage through this role youll lead high-impact initiatives that drive liquidity optimize search and matching and improve monetization across our platform. Youll 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 Youll 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 modelingbalancing 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.
Required Experience:
Senior IC
Employment Type
Full Time
