Data Scientist-Senior I

FedEx; Chennai District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

FedEx is seeking a Data Scientist to analyze strategic business objectives and apply advanced analytics. You will develop ML models, apply NLP to unstructured data, and design simulations to improve operations. Strong communication and project-management skills are essential, with a Master’s degree in a related field.

Role requires overseeing end-to-end data science projects, scripting robust automated solutions, and delivering clear, actionable insights to stakeholders.

Qualifications

• Master’s degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline.
• Fluency in English.
• Strong analytical and numerical skills for data modeling and visualization.
• Relevant work experience as a data scientist or similar role.

Responsibilities

• Analyze strategic business objectives and drive data-driven decision-making.
• Utilize statistical and mathematical programming techniques for ML and predictive analytics.
• Develop and implement ML algorithms and predictive analytics models.
• Apply NLP to extract insights from unstructured data.
• Develop algorithms for efficient information retrieval from large datasets.
• Design and optimize network simulation models to improve efficiency.
• Develop automated solutions to streamline processes and increase efficiency.
• Prototype and develop applications to demonstrate feasibility of data-driven solutions.
• Manage data science projects from inception to completion with on-time delivery.
• Communicate complex findings through data visualization and storytelling.

Skills

Fluency in English

Analytical Skills

Numerical Skills

Planning & Organizing Skills

Presentation Skills

Statistical and Mathematical Knowledge

Data Modeling and Visualization Skills

Programming Skills

Education

Master’s degree in Computer Science or related

Job description

Job Description:

Responsible for analyzing strategic business objectives, utilizing statistical and mathematical programming techniques for machine learning and predictive analytics, developing and implementing algorithms and models, applying natural language processing, designing network simulation models, developing automated solutions, prototyping applications, managing projects, and communicating complex findings as a Data Scientist.

• Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making.


• Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling tasks.


• Develop and implement machine learning algorithms and predictive analytics models to extract insights and make future predictions.


• Apply natural language processing techniques to extract meaningful insights from unstructured textual data.


• Develop algorithms and methods for efficient information retrieval from large datasets.


• Design and optimize network simulation models to improve efficiency and performance.


• Develop automated solutions to streamline processes and increase operational efficiency.


• Prototype and develop applications to demonstrate the feasibility and functionality of data-driven solutions.


• Manage data science projects from inception to completion, ensuring adherence to timelines and deliverables.


• Communicate complex analytical findings effectively through data visualization and storytelling techniques.

Education: Master’s degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline.

Relevant work experience as a data scientist based on the following number of years:

• Standard I: Two (2) years


• Standard II: Three (3) years


• Senior I: Four (4) years


• Senior II: Five (5) 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

Preferred Qualifications

Pay Transparency:

Pay

Additional Details:

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.

Requirements: