Senior Data Science Manager, AI Products

About the Role

This role is crucial in fostering a data-informed culture and driving real AI/ML impact and execution. The successful candidate will partner directly with the Head of Data Science and leadership in Product, Engineering, and Design to shape the product roadmap and execute mission-critical data science projects for Dash Experience.

What You Will Do

• Manage and scale a high-performing team of data scientists to ensure their continued growth and success.
• Coach and mentor data scientists of varying experiences, ensuring their professional development and contribution to the team's objectives.
• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, providing technical leadership in a fast-paced environment.
• Leverage data-driven insights to proactively identify the most impactful opportunities and directly influence product roadmaps and strategies.
• Translate complex data insights into clear implications and recommendations for the business, utilizing excellent communication skills.
• Work with cross-functional teams, including Product, Engineering, Design, User Research, and senior executives, to rapidly execute and iterate on product developments.
• Partner with Product Engineers and Data Engineers to build reliable, efficient, and scalable data foundations, tools, and processes to drive long-term growth of AI/ML capabilities.

What We Are Looking For

• Significant experience in managing and scaling data science teams, with a proven track record of success.
• Expertise in data science, machine learning, and statistics, with the ability to apply these skills to drive business growth.
• Strong leadership and mentoring skills, with the ability to coach and develop data scientists of varying experiences.
• Excellent communication skills, both verbal and written, with the ability to translate complex data insights into actionable recommendations.
• Experience with data analysis tools and technologies, including Excel, and familiarity with cloud-based data platforms.
• Ability to work in a fast-paced environment, with the capacity to prioritize multiple projects and deadlines.

Nice to Have

• Experience in the development of AI-first products and services.
• Knowledge of cloud computing platforms, such as AWS or Google Cloud.
• Familiarity with agile development methodologies and version control systems like Git.
• Experience with data visualization tools and techniques, with the ability to present complex data insights to non-technical stakeholders.

Benefits and Perks

• Competitive compensation package, reflecting the candidate's experience and qualifications.
• Opportunities for professional growth and development within a dynamic and innovative company.
• Access to cutting-edge technologies and tools, with the support to explore new ideas and solutions.
• Flexible working environment, with the option to work remotely and balance work and personal life effectively.
• Comprehensive health insurance and retirement savings plan, as part of a benefits package that supports overall well-being.

• Develop a strong portfolio showcasing your experience in data science and machine learning, particularly in leading teams and driving business growth through data insights.
• Be prepared to discuss specific examples of how you have applied data science to solve complex business problems and drive growth.
• Familiarize yourself with Dropbox's products and services, and think about how your skills and experience could contribute to the company's mission and goals.
• Highlight your ability to communicate complex data insights effectively to both technical and non-technical stakeholders.
• Prepare questions to ask during the interview, such as what the biggest challenges facing the data science team are and how the company approaches professional development and growth.
• Consider what you can bring to the role beyond the required skills, such as experience with specific tools or technologies that could enhance the team's capabilities.