About the position
Acts independently on behalf of the department to provides dynamic leadership at the enterprise level related to vast quantities of data, enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop advanced analytical solutions to ambiguous and very highly complex business problems. Breaks down ambiguous problems into manageable data science tasks, creating and executing data-driven solutions, and communicating results effectively to a diverse audience. Provides thought leadership, leading cross functional teams, and making expert use of current and emerging technologies to derive actionable insights and recommendations for business partners and management. Breaks down highly ambiguous and complex problems into well-defined data science/analytics tasks that can be solved with data and modeling/analytical approaches. Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Provides thought leadership and leads cross-functional and cross-company teams in the more advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Makes expert use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management. Makes expert use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making. Leads cross functional projects and programs, formally preparing and presenting to senior management. Provides expert consultation to senior management on a regular basis. Routinely works on multiple highly complex assignments concurrently. Mentors less senior staff. Perform other duties as assigned.
Responsibilities
- Provide dynamic leadership at the enterprise level related to data, analytics, statistical modeling, and AI/ML initiatives.
- Develop advanced analytical solutions to complex business problems using expert knowledge of data.
- Break down ambiguous problems into manageable data science tasks.
- Create and execute data-driven solutions and communicate results effectively.
- Lead cross-functional teams and provide thought leadership.
- Conduct advanced descriptive, diagnostic, predictive, and prescriptive modeling.
- Evaluate trends and develop actionable insights and recommendations.
- Prepare and present recommendations to senior management.
- Mentor less senior staff.
Requirements
- Master's degree in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields plus 4 years of experience in the job offered or in an analytical, quantitative, or technical role.
- Alternatively, a PhD in the relevant fields plus 1 year of experience in the job offered or in an analytical, quantitative, or technical role.
- Three years of experience or coursework in computer-aided decision support, analytical/modeling languages (e.g., Python, R, SAS, SQL), and data visualization tools (e.g., Tableau, PowerBI, Spotfire).
- Subject matter expertise in descriptive, diagnostic, predictive, and prescriptive modeling.
- Advanced problem-solving abilities.
- Ability to communicate complex information to technical and non-technical audiences.
- Strong project leadership skills.
- Ability to mentor lower levels.
Benefits
- Telecommuting from home from any location in the U.S.
