Responsibilities Lead and manage the Data Science and Engineering team, fostering a culture of collaboration and innovation Develop and implement data science vision and strategy aligned with business goals Oversee the development and execution of projects, ensuring timely delivery and high-quality results Mentor and guide team members, promoting professional growth and development Utilize advanced data science techniques, including machine learning, predictive modeling, and data mining, to extract actionable insights Oversee the design, development, and maintenance of data infrastructure, ensuring scalability and reliability Implement best practices for data management, data governance, and data security Collaborate with cross-functional teams to integrate data solutions into business processes Partner with business stakeholders to understand their needs and provide data-driven solutions Drive the adoption of data-driven decision-making across the organization Create and improve the delivery of embedded analytics solutions to end users, helping enhance business processes Identify opportunities for process improvements and implement innovative solutions Requirements Bachelor’s degree in data science, computer science, engineering, or a related field; master’s degree preferred Proven experience in a leadership role within data science and engineering Strong technical skills in programming languages (e.g., Python, R, SQL) and data tools (e.g., Snowflake) Excellent problem-solving and analytical abilities Strong communication and interpersonal skills Experience with cloud platforms (e.g., Azure) is a plus #J-18808-Ljbffr
