Senior/Staff Data Scientist, EPD

📋 Description

• • As a foundational member of Zip's burgeoning data science team, you will play a pivotal role in shaping the company's data-driven strategy and execution. This is a unique opportunity to join a category-defining company at a critical growth stage, contributing directly to the intelligence that powers our procurement platform and drives immense value for our enterprise clients.
• • You will be instrumental in transforming complex business challenges into actionable data insights and robust machine learning models. This involves a deep dive into our rich datasets, identifying key trends, and developing predictive capabilities that enhance user experience, optimize business operations, and fuel sustainable growth.
• • Collaborate closely with product managers, engineers, and business leaders to define key metrics, design experiments, and build data products that directly influence product development and strategic decision-making.
• • Develop and maintain sophisticated analytical models to understand customer behavior, predict churn, forecast demand, and identify new growth opportunities within our rapidly expanding market.
• • Design, build, and deploy scalable data pipelines and ETL processes, ensuring data integrity, accuracy, and accessibility for various stakeholders across the organization.
• • Create compelling data visualizations and dashboards using tools like Superset, Sigma, or Looker, translating complex analytical findings into clear, concise, and actionable recommendations for executive leadership and cross-functional teams.
• • Champion a data-centric culture by evangelizing best practices in data analysis, modeling, and interpretation, fostering a deeper understanding of data's potential across the company.
• • Conduct rigorous statistical analysis to validate hypotheses, measure the impact of new features or initiatives, and provide data-backed insights to guide product roadmaps and business strategies.
• • Work with cutting-edge technologies and methodologies in machine learning, statistical modeling, and data engineering to solve challenging problems in areas such as recommendation systems, fraud detection, and natural language processing.
• • Contribute to the development of our data infrastructure, advocating for best practices in data governance, quality, and security.
• • Mentor junior data scientists and analysts, sharing your expertise and fostering a collaborative learning environment.
• • Translate business requirements into technical specifications for data models, analytical projects, and machine learning solutions.
• • Proactively identify opportunities to leverage data for competitive advantage, exploring new analytical techniques and data sources to unlock novel insights.
• • Present findings and recommendations to diverse audiences, including technical teams, product stakeholders, and executive leadership, effectively communicating the 'so what?' behind the data.
• • Drive the development of A/B testing frameworks and experimentation strategies to rigorously evaluate product changes and marketing campaigns.
• • Contribute to the strategic vision for data science at Zip, helping to define the roadmap for future analytical capabilities and data products.
• • Ensure that all data-driven solutions are aligned with business objectives and contribute to Zip's mission of revolutionizing enterprise procurement.
• • This role offers a significant opportunity for impact, allowing you to shape the future of data science at a fast-growing, well-funded, and category-leading company.
• • You will be empowered to take ownership of projects from conception to deployment, working in a dynamic environment that values innovation, collaboration, and continuous learning.
• • The insights and models you develop will directly influence the trajectory of Zip, impacting billions of dollars in spend and shaping the way businesses operate globally.