Marketing Data Science Fellow

FedEx

Harrison, AR

Full Time

Senior

9 days ago

Job Description

About the Role

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 (Al)/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.

Key Responsibilities

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 advanced descriptive, diagnostic, predictive, and prescriptive modeling, statistical analysis, and other quantitative analyses of complex business situations.
Makes expert use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations for business partners and management.
Leads cross functional projects and programs, formally preparing and presenting to senior management.
Provides expert consultation to senior management on a regular basis.
Mentors less senior staff.
Performs other duties as assigned.

Requirements

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research plus 4 years of experience in a related role.
Or PhD in the relevant fields plus 1 year of experience in a related role.
Experience with computer-aided decision support or analytical/modeling languages (e.g., Python, R, SAS, SQL).
Experience with data visualization tools like Tableau, PowerBI, Spotfire.
Subject matter expertise in descriptive, diagnostic, predictive, and prescriptive modeling.
Advanced problem-solving abilities.
Ability to communicate complex information clearly to technical and non-technical audiences.
Strong project leadership skills.
Ability to mentor lower levels.
Experience with relational databases like Teradata and Oracle.
Ability to manipulate large data sets using SAS, SQL, Python, C, VB.net, Java, JavaScript, R, and Cloud Technology.
Familiarity with qualitative and quantitative analytics to predict market response and business impacts.