Data Science Director establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Being a Data Science Director determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization's data science tech stack. Additionally, Data Science Director typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. The Data Science Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Data Science Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function. (Copyright 2024 Salary.com)
Job Title: Director of Data Science
Industry: Consumer
Location: Atlanta, GA
Salary: $190,000-230,000 bonus LTIs benefits
Company Overview:
Our client is a leading consumer brand with a diverse portfolio of products and services. With a commitment to innovation and customer satisfaction, continually striving to enhance offerings through data-driven insights and advanced analytics. As they reach to improve operations within Pricing and Merchandising, we are seeking a seasoned Director of Data Science to lead efforts in leveraging data to drive strategic decisions and business growth.
Responsibilities:
Leadership: Provide strategic direction and leadership to the global data science team, fostering a culture of innovation, collaboration, and excellence.
Strategy Development: Develop and execute a comprehensive data science strategy aligned with business goals and objectives, leveraging advanced analytics, machine learning, and AI technologies. This role will primarily focus on the teams efforts within Pricing and Merchandising.
Cross-functional Collaboration: Collaborate closely with other departments, including IT, marketing, operations, supply chain and finance, to identify opportunities for data-driven insights and solutions that drive business value.
Data Management: Oversee the collection, storage, and management of data assets, ensuring data quality, integrity, and security standards are maintained.
Model Development: Lead the development and deployment of predictive models, algorithms, and statistical techniques to solve complex business problems and drive actionable insights.
Performance Monitoring: Establish key performance indicators (KPIs) and metrics to measure the effectiveness of data science initiatives, and regularly monitor and report on performance to senior leadership.
Qualifications: