Senior Data Scientist – Decision Science at Starbucks

Join our dynamic team as a Senior Data Scientist specializing in Decision Science, where you'll drive impactful data strategies that shape the future of our business. This role is pivotal in harnessing data to inform decision-making processes, collaborating with various teams to propel innovation and efficiency throughout the organization. Your day-to-day will involve leveraging your expertise in predictive analytics and machine learning to create robust models that inform key business strategies. With a tech stack that includes R, SQL, and Python, you'll develop engaging data visualizations and dashboards, translating complex datasets into actionable insights. You'll also play a crucial role in mentoring junior team members, ensuring knowledge transfer and skill development within the team. As part of a forward-thinking team, you'll have ample opportunities for professional growth and development. Collaborate with cross-functional teams and take the lead on advanced analytics projects that not only enhance your skills but also contribute significantly to our company’s success. This role is unique as it positions you at the intersection of data science and business strategy, allowing you to make a tangible impact while working in a fully remote environment with a supportive and innovative team.

Design advanced analytics projects that drive significant business impact and growth. Build predictive models using machine learning techniques to enhance decision-making capabilities. Lead the development of interactive dashboards that visualize data insights for cross-functional teams. Architect statistical models to translate complex data into actionable business strategies. Drive mentorship initiatives, fostering skill development and knowledge sharing within the data team. Collaborate with departments to define key metrics that measure success and performance. Conduct experiments to optimize pricing strategies and improve customer experiences through data.

Competitive compensation package with comprehensive health benefits for you and your family. Flexible work hours and remote options to maintain a healthy work-life balance. Opportunities for professional development, including workshops and training sessions. Supportive culture that encourages innovation, collaboration, and employee engagement. Access to the latest tools and technologies to enhance your data science skills. Fun team events and celebrations to foster a vibrant workplace atmosphere.