Decision Scientist

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, you're joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
• Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are.  We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Mumbai

Scheduled Weekly Hours:

48

Worker Type:

Regular

Posting Start Date

30-Apr-2025

Posting Close Date:

30-Dec-2025

Job Family:

FXE-MEISA: Decision Scientist

Position Summary:

Grade : 14

 "Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise.

What your main responsibilities are:

Responsibilities:

Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes.

Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets.

Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions.

Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions.

Mentor and coach junior members of the team, providing guidance on technical skills and professional development.

Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations.

Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business.

What we are looking for

Qualifications:

Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field.

4-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions.

Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries.

Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design.

Experience working with cloud technologies (especially Azure) is preferred.

Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.

Prior experience in a senior-level role is preferred.

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

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