Location
Malvern, PA | United States
Job description
Overview
This is a hybrid role based in the Malvern, PA office.
CubeSmart is seeking a Senior Data Scientist to join our dynamic Revenue Management team at our Malvern, PA headquarters. We’re seeking someone who is passionate about using data to drive strategic decisions and optimize our business operations.
Who We Are
At CubeSmart, we’re intentional about culture. You can experience it everywhere from our mission statement of “genuine care” to our “It’s What’s Inside That Counts” tagline to calling each other “teammates” rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry.
CubeSmart’s award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you.
ResponsibilitiesAs a Senior Data Scientist, you will play a critical role in shaping our pricing strategies, optimizing our marketing spend, and identifying real estate investment opportunities. Your responsibilities will include:
- Refine and Improve Pricing Models: Leverage advanced modeling techniques and analytics to develop, refine, and enhance our pricing models, ensuring competitive pricing that maximizes revenue.
- Optimize Marketing Spend: Analyze marketing performance data to identify optimization opportunities, ensuring the highest ROI on our marketing investments.
- Real Estate Investment Analysis: Utilize predictive modeling and market analysis to identify and evaluate potential real estate investment opportunities for expansion or optimization.
- Cross-functional Collaboration: Work closely with the marketing, operations, and finance teams to implement data-driven strategies that align with company goals.
- Data Visualization and Reporting: Create and present clear, compelling reports that inform and drive strategic decisions at the executive level.
Qualifications- Experience: 5+ years of professional experience in data science, with a proven track record in pricing strategy, marketing optimization, or investment analysis.
- Education: A Master’s degree or higher in Data Science, Economics, Statistics, Math, or a related field.
- Technical Skills: Proficiency in data analysis and modeling tools such as Python and SQL, and experience with big data technologies.
- Business Acumen: A solid understanding of business operations, economics, and market dynamics. Ability to translate complex data insights into actionable business strategies.
- Problem-Solving Skills: Exceptional analytical and critical thinking skills, with a knack for identifying trends, anomalies, and opportunities in large datasets.
- Communication: Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
Work Environment
Join us at CubeSmart, and you will:
- Be part of a leading REIT recognized for its data-driven innovations and ranked among the top 50 Best Companies to Work for in North America.
- Collaborate within a large, diverse analytics team tackling a wide range of projects including market research, predictive and prescriptive analytics, marketing, pricing, revenue management, and more.
- Work on impactful projects that span across strategic investment, marketing, pricing, sales, operations, and customer service, driving real business outcomes.
- Receive opportunities for professional and personal growth, enhancing your skills and career trajectory.
- Interact with both internal stakeholders and external partners to gather and analyze customer and operational data, enriching our business insights.
- Lead and guide project teams towards successful outcomes, from planning and design to implementation, making strategic decisions based on data and analytics.
- Mentor and provide leadership to junior data scientists, contributing to our collective success and operational excellence.
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