Marketing Data Science Manager

FedEx

Hybrid

Quick summary

Work type: Hybrid
Location: Collierville, TN
Posted: 2 days ago
Nearby: 14 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$102k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $126,800–$208,650.

Based on 240 similar postings.

Employer

About FedEx

FedEx is a US-based multinational delivery services company providing express shipping, freight, logistics, and e-commerce solutions worldwide.

FedEx currently has 14 open roles on FindRole.

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At a glance

TL;DR · Marketing Data Science Manager

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This role involves leading a high-performing data science team to drive strategic business outcomes in the retail sector through advanced analytics and machine learning. Day-to-day responsibilities include identifying complex business problems, developing predictive models, optimizing customer data platforms, and enhancing revenue management strategies. The ideal candidate will have extensive experience with Python, PySpark, R, SAS, SQL, and Azure Databricks, along with expertise in geospatial analytics, statistical analysis, and quantitative modeling. Key skills also include strong leadership abilities to mentor and guide a team of six data scientists while ensuring best practices for model development and deployment. The position requires a master’s degree plus five years of relevant experience or a PhD plus two years, focusing on delivering tangible value through agile and scalable technical solutions in the retail and transportation industries.

Skills

Python PySpark R SAS SQL Scala C++ Java Azure Databricks Microsoft Azure ESRI ArcGIS Geospatial Analytics Predictive Modeling Quantitative Analytics MLOps Machine Learning Engineering Data Science Methodologies CI/CD Version Control

What you'll do

Lead and manage a high-performing data science team to drive strategic business outcomes.
Identify and solve complex business problems using advanced analytics and machine learning techniques.
Develop new analytical approaches and algorithms to address challenging business issues.
Provide expert guidance on the application of data science methodologies to executive leadership.
Establish best practices for machine learning model development, deployment, and scalability.

What we're looking for

Master’s degree in data science or related field plus 5 years of experience required.
Extensive knowledge in advanced analytics, statistical analysis, and machine learning methods.
Experience leading technical teams and multi-functional project teams.
Strong skills in programming languages such as Python, R, SQL, and ML frameworks.
Expertise in analytical tools like SAS, Azure Databricks, and Microsoft Azure tech stack.
Proven ability to deliver projects under tight deadlines with a team-oriented approach.

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