Senior Data Science

Role & responsibilities

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

• Bachelor’s 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.