Sr Data Scientist

Role Overview

We are seeking a highly skilled Senior Data Scientist with a minimum of 5 years of

experience to join our Customer Experience Analytics team. The successful candidate will

play a pivotal role in building products that enable leadership to extract insights efficiently,

fostering data-driven decision-making processes. If you are passionate about leveraging

NLP, ML algorithms, and feature engineering to drive business impact and enhance the

customer experience, we invite you to join our team at FedEx.

What youll be working on

• Collaborate cross-functionally with various teams to analyze user behavior and usage

patterns, extracting actionable insights to enhance customer experience.

• Utilize advanced statistical techniques, NLP, and ML algorithms to identify

opportunities for business problem-solving, leveraging scientific methodologies.

• Develop and refine predictive models based on historical user data, with a focus on

feature engineering and improving machine learning algorithms for production.

• Design and execute controlled experiments to evaluate the potential impact of new

approaches, contributing to data-driven decision-making processes.

• Provide detailed analysis and reporting on current trends and performance metrics,

using NLP techniques for text data and identifying opportunities for improvement.

• Translate complex data findings into actionable insights for leadership, leveraging NLP

outputs and ML algorithms for advanced analytics.

• Take ownership of end-to-end solution delivery, from problem statement formulation

to product implementation, collaborating with other teams as needed.

• Contribute to the development of solutions and products supporting FedEx's GenAI

services, specifically tailored for the Customer Experience vertical.

What we are looking for

• Bachelors degree in computer science, Statistics, Mathematics, or a related field.

Advanced degree preferred.

• Minimum of 5 years of experience in data science, with a focus on customer analytics,

NLP, and machine learning.

• Proficiency in statistical analysis, predictive modeling, NLP techniques, and feature

engineering.

• Any experience with development of GenAI solutions is preferred.

• Strong programming skills in languages such as Python, with experience in data

manipulation and analysis libraries.

• Demonstrated experience in designing and executing controlled experiments to drive

business insights.

• Excellent communication skills, with the ability to translate complex technical concepts

into actionable insights for non-technical stakeholders.

• Proven track record of delivering end-to-end solutions in a fast-paced, dynamic

environment.

• Experience working with large-scale datasets and distributed computing frameworks

is a plus.