Decision Scientist-Lead II

FedEx; Bengaluru; Hybrid; INR 3,000,000 - 5,400,000; Full time

Job summary

FedEx in Bengaluru seeks a Lead Data Scientist to drive in-depth data analysis, build predictive models, and optimize business processes. The role focuses on decision support systems and experimentation, coordinating with diverse teams to translate data into actionable strategies.

The candidate should hold advanced degrees preferred and bring strong English communication, analytical, numerical, and modeling skills to the table, supporting FedEx's global logistics and customer-centric priorities.

Qualifications

• Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline.
• Master's degree or PhD is preferred.

Responsibilities

• Lead in-depth analysis of complex data sets to uncover actionable insights and trends.
• Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
• Apply optimization techniques to improve business processes and resource allocation.
• Design and implement decision support systems that enable stakeholders to make data-driven decisions.
• Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
• Lead cross-functional teams and stakeholders to understand business requirements and priorities.
• Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
• Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.

Skills

Fluency in English

Analytical Skills

Accuracy & Attention to Detail

Numerical Skills

Planning & Organizing Skills

Presentation Skills

Statistical and Mathematical Knowledge

Data Modeling and Visualization Skills

Programming Skills

Education

Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, or similar

Master's degree or PhD preferred

Job description

Job Profile Summary

Responsible for leading in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, leading cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.

• Lead in-depth analysis of complex data sets to uncover actionable insights and trends.
• Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
• Apply optimization techniques to improve business processes and resource allocation.
• Design and implement decision support systems that enable stakeholders to make data-driven decisions.
• Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
• Lead cross-functional teams and stakeholders to understand business requirements and priorities.
• Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
• Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.

Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.

Relevant work experience in decision science based on the following number of years:

Lead I: Five (5) years

Lead II: Six (6) years

Knowledge, Skills And Abilities

• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Statistical and Mathematical Knowledge
• Data Modeling and Visualization Skills
• Programming Skills

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World's Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970's. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today's global marketplace.