FedEx Hiring Senior Data Scientist Job| New Opportunity 2025

• Job Title: Senior Data Scientist
• Salary: Not Disclosed 
• Location: Mumbai 
• Company: FedEx
• Qualifications: Any Graduate
• Experience: 2 – 7 years

ABOUT FEDEX 

FedEx Corporation is an international leader in logistics and transportation offerings, focusing on rapid, dependable, and charge-powerful shipping answers. Founded in 1971 using Frederick W. Smith, the organization revolutionized the unmarried day transport corporation and has because of the truth elevated its operations to offer a wide style of offerings. These include specific parcel delivery, freight solutions, supply chain management, and exchange assistance. 

FedEx operates a huge community of airplanes, vans, and facilities, serving tens of thousands and thousands of clients internationally. With a dedication to innovation, customer service, and sustainability, FedEx has emerged as an identified logo in the logistics enterprise. The enterprise’s venture is to attach humans and companies globally through green, reliable, and green answers, driving trade and improving lives. Headquartered in Memphis, Tennessee, FedEx maintains to steer the enterprise with its numerous services and willpower to excellence.

Job Description: Senior Data Scientist

Overview:

As a Senior Data Scientist at [Company Name], you could play an important feature in driving statistics-pushed choice-making and innovation throughout the agency. You will paint carefully with industrial company leaders and go-realistic teams to increase facts models, select out tendencies, and clear up complex business enterprise troubles using superior analytical strategies. You can be anticipated to leverage your statistics in device getting-to-know, records, and statistics engineering to create and enforce predictive models, optimize strategies, and extract actionable insights from big datasets.

Key Responsibilities:

Advanced Analytics and Modeling:

• Design, grow, and implement state-of-the-art statistics fashions, predictive algorithms, and machine-study techniques to solve enterprise issues. Apply statistical analysis, records mining, and machine learning techniques to discover insights and inclinations.

Data Exploration and Visualization:

• Conduct exploratory information analysis (EDA) to select styles, correlations, and anomalies in datasets. Create compelling information visualizations to communicate findings to both technical and non-technical stakeholders. Present facts and insights in a clear, actionable format.

Cross-practical Collaboration:

• Work collaboratively with engineering, product control, marketing, and different departments to recognize enterprise needs and deliver statistics-pushed answers. Influence decision-making by translating analytical consequences into actionable industrial employer tips.

Optimization and ImprovementLed the

• he improvement of algorithms and models that power optimization in severa commercial agency procedures. Constantly screen and refine models to ensure accuracy, reliability, and scalability.

Mentorship and Leadership:

• Provide mentorship and steering to junior information scientists and analysts, fostering a way of life of non-stop gaining knowledge of and improvement. Lead code critiques and make sure first-rate practices in records science and gadget mastering techniques.

Data Strategy and Innovation:

• Contribute to the development of the statistics method using the use of figuring out possibilities for innovation through information. Stay updated on emerging dispositions in statistics generation and device studying, and proactively endorse new methodologies to improve the corporation’s facts talents.

Data Engineering Collaboration:

• Work closely with the facts engineering organization to make sure the data pipeline is optimized and geared up for superior analytics. Help lay out and put in force scalable information infrastructure and architectures.

Communication and Reporting:

• Effectively talk records-pushed insights and results to senior management, stakeholders, and outside partners. Prepare and gift opinions, dashboards, and one-of-a-kind documentation as needed.

Qualifications:

Education:

• Master’s or Ph.D. In Computer Science, Statistics, Mathematics, Engineering, or an associated difficulty.

Experience:

• five+ years of enjoy in information technology, with a tested tune document of developing and deploying systems gaining knowledge of fashions in manufacturing surroundings.

Technical Skills:

• Strong proficiency in Python, R, SQL, and relevant gadget studying frameworks (e.g., TensorFlow, PyTorch, Scikit-studies). Experience with data visualization equipment (e.g., Tableau, Power BI, D3.Js) is a plus.

Analytical and Problem-Solving Skills:

• Strong heritage in statistical modeling, fastening, and system studying techniques. Ability to approach complicated business issues with an information-pushed mindset

Soft Skills:

• Excellent verbal exchange, presentation, and collaboration abilties. Ability to translate complicated technical requirements into clear commercial organization insights.

Benefits:

• Competitive revenue and typical performance-based tototalonuses
• Health, dental, and vision coverage
• Flexible artwork surroundings
• Opportunities for professional development and education
• Generous paid time off (PTO) and tour depart

[Company Name] is an equal-opportunity organization and we inspire humans from all backgrounds to apply.

Click Here to Apply Now 

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