Data Scientist-Senior II

FedEx; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

FedEx is seeking a Data Scientist Senior II to lead major data science initiatives, advancing capabilities with cutting-edge tools and scalable modeling across projects, platforms, and products.

You will act as a universal translator between IT, business, software and data engineers, setting technical standards and driving end-to-end solutions from concept to production using modern ML/AI methods.

Qualifications

• Master’s degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. PhD preferred.
• 5–7 years’ experience in applying data science, operations research, and data analytics modeling to decrease cost, increase profitability, and improve customer experience.
• Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including iterative development of analysis pipelines at scale.
• Extensive experience conducting end‑to‑end analyses, including data gathering, requirements specification, processing, analysis, and presentation.

Responsibilities

• Understanding in depth both the business and technical problems ACCs aims to solve
• Exploring data and crafting models to answer core business problems that may not have a common blueprint
• Leading the invention of new approaches and algorithms for tackling data intensive problems
• Pioneering R&D efforts to rapidly understand and assimilate state of the art methods
• Scaling up from “laptop-scale” to “cluster-scale” problems by standardizing and industrializing solutions
• Delivering tangible value rapidly, collaborating with diverse teams of varying disciplines
• Interacting with senior technologists from the broader enterprise and outside of FedEx to create synergies and identify improvement opportunities
• Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

Skills

Data science

Machine learning

Statistics

CI/CD

MLOps

Cloud computing

Big data

Team leadership

Mentorship

Code reviews

Distributed teams

Optimization modeling

Ensemble modeling

Education

Master's degree in computer science, operations research, statistics, applied mathematics or related quantitative discipline

PhD preferred

Tools

SKLearn

XGBoost

TensorFlow

PyTorch

MLlib

Python

MLflow

Databricks

AWS

Azure

CPLEX

Gurobi

Job description

Job Profile Summary

Takes ownership and responsibility over major data science initiatives. Advances ACCs’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in ACCs projects, platforms and products. Simultaneously works to keep ACCs on the leading edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross‑functional teams.

Job Description

The Data Scientist Senior II plays a pivotal role, focused on creating and driving data science innovation within ACCs, helping define and build the ACCs organization, and enabling the delivery of key business initiatives. Acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with multi‑disciplinary teams. Contributes to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. Works with large data sets and solves difficult analytical problems, applying advanced methods. Leads the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day‑to‑day, involved in code reviews and large‑scale deployments. Provides mentorship and guidance to junior data scientists to support the continued training and up‑skilling of the Data Science team.

Job Responsibilities

• Understanding in depth both the business and technical problems ACCs aims to solve
• Exploring data and crafting models to answer core business problems that may not have a common blueprint
• Leading the invention of new approaches and algorithms for tackling data intensive problems
• Pioneering R&D efforts to rapidly understand and assimilate state of the art methods
• Scaling up from “laptop‑scale” to “cluster‑scale” problems by standardizing and industrializing solutions
• Delivering tangible value rapidly, collaborating with diverse teams of varying disciplines
• Interacting with senior technologists from the broader enterprise and outside of FedEx to create synergies and identify improvement opportunities
• Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

Skills and Abilities

• Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
• A compelling track record of Data Science / Engineer expertise, designing and deploying large‑scale technical solutions that deliver tangible, ongoing value
• Direct experience building and deploying robust, complex production systems through Cloud technologies that implement modern, data‑scientific methods at scale
• Ability to context‑switch and provide support to dispersed teams that require an “expert hacker” to unblock challenging technical obstacles
• Demonstrated ability to deliver technical projects with a team, often under tight time constraints
• Engineering mindset: willing to make rapid, pragmatic decisions to improve performance and accelerate progress
• Ability to work with distributed teams on code‑based deliverables using version control
• Solid theoretical grounding in the mathematical core of the major ideas in data science
• Expert level understanding of a class of modeling or analytical techniques, often supported by Master’s or Doctoral‑level research
• Deep fluency in the mathematical primitives and generalizations of data science (e.g., Linear Algebra, Vector Calculus)
• Experience using agile and devops practices for project and software management, including CI/CD and process improvement (e.g., Lean, Six Sigma)
• Proficiency in common languages and tools:
  • SKLearn, XGBoost, TensorFlow, PyTorch, MLlib and other core ML frameworks
  • Python and other modern programming languages
  • MLflow, Databricks, AWS, Azure and other data tools and frameworks
  • CPLEX, Gurobi and other optimization modeling packages

Minimum Qualifications

• Master’s degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. PhD preferred.
• 5–7 years’ experience in applying data science, operations research, and data analytics modeling to decrease cost, increase profitability, and improve customer experience.
• Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including iterative development of analysis pipelines at scale.
• Extensive experience conducting end‑to‑end analyses, including data gathering, requirements specification, processing, analysis, and presentation.
• Strong familiarity with the transportation industry, competitors, and evolving technologies.
• Leadership experience in a general planning or consulting setting; experience as a senior member of multi‑functional project teams.
• Strong human relations, organizational/time management, project management, and software development skills.
• Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.

Equal Opportunity Statement

FedEx is 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.