Job Description
Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.
Grade : 14
"Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"
Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise.
What your main responsibilities are:
Responsibilities:
Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes.
Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets.
Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions.
Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions.
Mentor and coach junior members of the team, providing guidance on technical skills and professional development.
Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations.
Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business.
What we are looking for
Qualifications:
Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field.
4-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions.
Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries.
Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design.
Experience working with cloud technologies (especially Azure) is preferred.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.
Prior experience in a senior-level role is preferred.
Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation 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.
Grade : 14
"Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"
Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise.
What your main responsibilities are:
Responsibilities:
Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes.
Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets.
Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions.
Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions.
Mentor and coach junior members of the team, providing guidance on technical skills and professional development.
Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations.
Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business.
What we are looking for
Qualifications:
Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field.
4-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions.
Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries.
Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design.
Experience working with cloud technologies (especially Azure) is preferred.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.
Prior experience in a senior-level role is preferred.
Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation 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.
💡 Quick Summary
Seeking a career-building opportunity? The Decision Scientist - Lead position is now open for candidates interested in the Office Assistant Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Office Assistant Jobs is a plus.
