Data Scientist

About the job

As a Data Scientist at our company, you will play a crucial role in providing quantitative support, market understanding, and a strategic perspective to our partners across the organization. Your expertise in analytics will help partners make better decisions by deriving meaningful insights from data. You will work closely with Engineering and Product Management teams, utilizing your analytical skills to create recommendations and stories based on the data. Key Responsibilities: • Lead and inspire a team of data scientists, providing technical guidance, career development support, and conducting performance reviews. • Define the data science roadmap, prioritize initiatives with measurable business impact, and stay updated with industry trends and emerging technologies. • Oversee data science projects, ensure timely delivery and quality, define project scope, objectives, and success metrics, and manage project risks and resource allocation. • Maintain expertise in statistical modeling, machine learning, and data mining, contribute to advanced analytics solutions, and evaluate and implement new tools and technologies. • Build cross-functional relationships, communicate technical concepts clearly, present data-driven insights to senior management, and collaborate with engineering, product, and business teams. Qualifications Required: • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. • 7 years of experience in statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. • 7 years of experience developing and managing metrics or evaluating programs/products. • 5 years of experience as a people manager within a technical leadership role. This role will involve partnering with various teams in the company to apply advanced Data Science techniques to enterprise opportunities. You will collaborate with Research, Core Enterprise ML, and ML Infrastructure teams to build solutions tailored for enterprise needs.