Data Scientist Senior I

About the job

Primary Location - Chennai Job Summary: Takes ownership over select 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. Anchors current best practices by driving the design and build of reusable data science assets. Simultaneously, work to keep ACCs on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads junior data scientists in modeling and development to support operations initiatives and strategic programs, through the use of descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and use of database tools and/or other approaches in mathematical analysis. Applies understanding of ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides guidance to less senior team members to drive results. Works with cross-functional teams. Job Description: The Data Scientist Senior I plays a pivotal role, focused on driving data science innovation within ACCs, helping to define and build the ACCs organization and leading the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Senior I will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large datasets and solve difficult analytical problems, applying advanced methods. S/he will drive 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, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team. Job Description / 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 • Driving 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 driving efforts to standardize and industrialize solutions • Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines and organizational backgrounds • Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement • Championing best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases. Skills / Abilities • Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science • A track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value • Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale • Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined • Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value • An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact • Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews • Solid theoretical grounding in the mathematical core of the major ideas in data science • Strong understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject • Fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector Calculus • Use of agile and devops practices for project and software management including continuous integration and continuous delivery. • Demonstrated expertise in working with some of the following common languages and tools: SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core machine learning frameworks • Python and other modern programming languages • MLFlow, Databricks, AWS, Azure and other data tools and frameworks CPLEX, Gurobi and other similar optimization modeling packages Minimum Qualifications • Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. • Directly related PhD preferred. • Five+ (5) years’ work experience in Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred.), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. • Extensive knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. • Extensive knowledge and experience in conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis, and presentations. • Strong understanding of the transportation industry, competitors, and evolving technologies. • Experience providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. • Strong oral and written communication skills. • A related advanced degree may offset the related experience requirements. Preferred Qualifications: Pay Transparency: 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.

Requirements

• Data Science
• Machine Learning
• Python
• Statistical Techniques
• ML Ops

Qualifications

• Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics
• 5 years of work experience in relevant field

Preferred Technologies

• Data Science
• Machine Learning
• Python
• Statistical Techniques
• ML Ops

About the 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.