Senior Consultant, Data Science

• Lead the design and delivery of complex machine learning, advanced analytics, and artificial intelligence solutions
• Establish technical standards, reusable best practices, and solution-design approaches
• Provide technical direction across multiple projects
• Lead end-to-end delivery of strategic initiatives from problem definition and analytical design through production implementation and ongoing improvement
• Evaluate emerging technologies and identify opportunities to strengthen automation and analytical capabilities
• Partner with Product, Engineering, and business leaders on technical solutions and cross-functional program execution
• Present analytical findings, business impact, and recommendations to technical and nontechnical audiences
• Mentor and coach team members, lead knowledge-sharing activities, and contribute technical expertise to hiring efforts
• Influence technical and strategic decisions across teams and business functions

• Bachelor’s degree or higher in a quantitative field, or equivalent knowledge and experience relevant to data science, machine learning, or advanced analytics
• Four to six years of experience in data science, machine learning, advanced analytics, or a related discipline
• Experience leading complex analytics or machine learning initiatives through design, development, implementation, and delivery
• Experience providing technical guidance, mentoring colleagues, and supporting knowledge development across a team
• Experience translating complex business challenges into analytical solutions and communicating recommendations to diverse stakeholders
• Advanced knowledge of machine learning and statistical modeling
• Advanced proficiency with Python and Structured Query Language (SQL)
• Experience using BigQuery and modern machine learning tools or ecosystems
• Experience working with cloud-based artificial intelligence and data platforms
• Experience developing scalable, production-grade machine learning solutions with appropriate quality and performance standards

• Work/life flexibility
• Resources for teams across the globe to collaborate and drive excellence
• Career development and growth support
• Professional development opportunities
• Remote work arrangement
• Occasional in-person attendance at work-related events at management’s discretion