Marketing Data Science Fellow

FedEx

Harrison, AR

Full Time

Senior

12 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 (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. Provides thought leadership, leads cross-functional teams, and makes expert use of current and emerging technologies to derive actionable insights and recommendations for business partners and management.

Key Responsibilities

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.
Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
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 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.
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 an analytical, quantitative, or technical role.
Alternatively, PhD in data science, analytics, business, mathematics, economics, computer science or other quantitative fields plus 1 year of experience in the same roles.
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, etc.
Subject matter expertise in descriptive, diagnostic, predictive, and prescriptive modeling.
Advanced problem-solving abilities.
Strong knowledge of statistical analysis and other quantitative analyses of complex business situations.
Ability to communicate complex information clearly to technical and non-technical audiences.
Ability to prepare and present recommendations to leadership.
Strong project leadership skills and ability to mentor lower levels.
Experience analyzing data to support business decisions.
Understanding of business concepts relevant to revenue management, marketing, and finance.
Familiarity 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 data visualization tools like Tableau, PowerBI, and Spotfire.
Ability to perform qualitative and quantitative analytics to predict market response and business impacts.
Position allows for telecommuting from home within commuting distance of Harrison, AR.