Leadership and Team Management: Lead, mentor, and develop a high-performing team of data scientists. Foster a collaborative and innovative team culture, promoting continuous learning and professional development. Set clear goals and performance expectations for the data science team, ensuring alignment with company objectives. Allocate resources effectively, managing project priorities and timelines. Promote a data-driven, scientific culture throughout the company by advocating for data-driven a... more details
Overview This is a hybrid role based in Malvern, PA The Senior Manager of Data Science will play a pivotal role in driving data-driven decision-making and strategic insights for CubeSmart. This leader will oversee a team of data scientists, utilizing advanced analytics, machine learning, and predictive modeling to optimize business operations, enhance customer experience, and maximize revenue. The ideal candidate is a strategic thinker with a deep technical background, exceptional leadership skills, and a passion for leveraging data to solve complex business problems. While the primary responsibility is managing the team, the ideal candidate must also be hands-on with coding and technical problem-solving, demonstrating their technical expertise to support and advance the team's projects and initiatives. Responsibilities Leadership and Team Management: Lead, mentor, and develop a high-performing team of data scientists. Foster a collaborative and innovative team culture, promoting continuous learning and professional development. Set clear goals and performance expectations for the data science team, ensuring alignment with company objectives. Allocate resources effectively, managing project priorities and timelines. Promote a data-driven, scientific culture throughout the company by advocating for data-driven approaches and evidence-based decision-making. Strategic Vision and Planning: Develop and execute a strategic vision for the data science function that aligns with CubeSmart’s broader business goals. Identify and prioritize high-impact data science projects and initiatives that drive business growth and efficiency. Establish and manage a data science roadmap, guiding the team’s focus on projects with the highest strategic value. Advanced Analytics and Modeling: Develop and implement advanced analytics and machine learning models to address key business challenges and opportunities, particularly focused on maximizing revenue. Oversee the design and execution of predictive models to enhance customer segmentation, pricing strategies, and inventory management. Ensure the accuracy, quality, and scalability of data science solutions. Testing and Experimentation Strategies: Design and implement testing and experimentation strategies, including A/B testing and controlled experiments. Analyze the results of experiments to measure the effectiveness of business strategies and initiatives. Develop guidelines and best practices for testing and experimentation to ensure consistent and reliable results. Strategic Initiatives and Business Impact: Collaborate with cross-functional teams, including revenue management, marketing, operations, investments, and finance, to identify data-driven opportunities and support strategic initiatives. Provide actionable insights and recommendations to senior leadership based on data analysis and modeling results. Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue. Communication and Stakeholder Management: Communicate complex analytical concepts and insights to non-technical stakeholders, including executives and department heads. Develop and deliver presentations, reports, and dashboards that effectively convey data-driven insights and recommendations. Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions. Act as a liaison between the data science team and other departments, ensuring data science initiatives are aligned with broader business goals. Operational Excellence: Establish and maintain best practices for data science methodologies, tools, and frameworks. Implement processes for continuous improvement in data science workflows and project management. Ensure compliance with data governance and security standards. Qualifications Master’s degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field. 8 or more years of experience in data science, analytics, or a related field Proven track record in leading data science teams, particularly focused on pricing strategy, marketing optimization, investment analysis or related fields. Strong background in developing and deploying machine learning models and advanced analytics solutions. Proficiency in programming languages such as Python and SQL and big data technologies, such as Databricks. Strong problem-solving skills and the ability to think strategically about data and business. Experience in applying advanced analytical techniques to business problems. Ability to translate complex data insights into actionable business recommendations. Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. Strong interpersonal skills and the ability to build relationships with stakeholders at all levels of the organization. #LI-MT1 #Li-Hybrid
