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.
Experience: 3–6 Years
Location: Hyderabad, India (In‑office)
Employment Type: Full Time
Worker Sub‑Type: Regular
About the Role
The Data Scientist II is a hands‑on contributor responsible for delivering applied data science, advanced analytics, and machine learning solutions on Google Cloud Platform (GCP) for FedEx Office data applications.
This role focuses on executing data science solutions that drive business outcomes, working closely with data engineers, software engineers, and business stakeholders.
The role emphasizes practical, production‑oriented data science rather than pure research.
The Data Scientist II may occasionally support data engineering activities to enable ML pipelines and ensure data readiness, while continuously building depth in modeling, analytics, and ML deployment.
Key Responsibilities
Understand business problems and translate them into data science and analytics use cases.
Perform exploratory data analysis (EDA) and feature engineering on large, complex datasets.
Build, train, and evaluate statistical and machine learning models (descriptive, diagnostic, predictive, and prescriptive).
Apply appropriate modeling techniques to generate actionable insights and recommendations.
Support model deployment and lifecycle management using Vertex AI, following established patterns.
Collaborate with data engineers to ensure high‑quality, ML‑ready datasets.
Write production‑quality Python and SQL for data preparation, transformations, and feature pipelines.
Participate in code reviews, testing, and medium‑scale deployments.
Follow and contribute to data science standards, reusable templates, and best practices.
Work closely with cross‑functional teams (IT, business, analytics, engineering) in an Agile environment.
Assist with troubleshooting data or model issues in production under guidance.
Continuously learn and apply emerging data science and ML techniques in a business‑focused manner.
GCP Technology Stack
Programming: Python, SQL
GCP Analytics: BigQuery, Cloud Storage
AI/ML: Vertex AI (model training, deployment, monitoring – working knowledge)
ML Libraries: scikit‑learn, XGBoost, TensorFlow or PyTorch (as applicable)
DevOps / MLOps: Git, CI/CD (foundational exposure)
BI / Visualization: Power BI or Looker
Skills & Qualities
Strong foundation in data science, statistics, and machine learning concepts
Experience delivering applied analytics or ML solutions in real‑world environments
Ability to work across data science and light data engineering tasks
Engineering mindset with focus on code quality and reproducibility
Strong analytical thinking and structured problem‑solving skills
Effective communication and collaboration with cross‑functional teams
Willingness to learn, adapt, and grow toward more complex data science ownership
Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
Typically 3–5 years of relevant experience in data science, analytics, or ML roles
Experience supporting end‑to‑end analytical or ML workflows, from data exploration to production deployment
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.
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.
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 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.
