--Position is closed after 30 minutes of posting--
Position:
- Decision Scientist - Associate
Company:
- Federal Express Corporation (FedEx AMEA)
Location:
- Saki Vihar Road, Mumbai, Maharashtra 400072, India
- 6 IGI Road, New Delhi, Delhi 110037, India
- 26/27 Mahatma Gandhi Road, Bangalore, Karnataka 560001, India
Job Type:
- Full-Time
Job Mode:
- On-site
Job Requisition ID:
- RC727305
Years of Experience:
- 0-3 years
Company Description:
Global Leader in Express Transportation:
- FedEx is a global leader in express transportation and logistics, known for connecting people and possibilities in over 220 countries and territories worldwide.
Commitment to Excellence:
- For over five decades, FedEx has maintained its reputation for excellence in customer service, innovation, and global reach. Our mission is to deliver top-tier logistics solutions that meet the evolving needs of our diverse customer base.
Innovative Culture:
- Innovation is at the heart of FedEx, driving our success in a rapidly changing world. Our team members are empowered to think creatively and push the boundaries of what's possible in logistics.
People-First Philosophy:
- The People-Service-Profit (P-S-P) philosophy guides our operations, ensuring that we prioritize the well-being of our employees, the satisfaction of our customers, and the profitability of our business, which allows us to reinvest in our people and services.
Awards and Recognition:
- FedEx has consistently been recognized as one of the "World's Most Admired Companies" by Fortune magazine. Additionally, in 2023, we were honored as one of the "World’s Most Ethical Companies" by Ethisphere.
Profile Overview:
Purpose of the Role:
- As a Decision Scientist - Associate at FedEx, your primary role will involve collaborating with cross-functional and cross-regional teams to perform data analysis, forecasting, and strategy implementation. You will provide crucial requirements to data scientists and technology teams and engage with global stakeholders to enhance the customer experience.
Key Responsibilities:
- Analyze customer behavior data across various regions to identify actionable insights.
- Develop and refine machine learning models to predict future trends and behaviors.
- Design controlled experiments to test new strategies and measure their impact.
- Collaborate with leadership to contextualize data trends and performance metrics.
- Oversee the end-to-end system, from problem identification to solution delivery.
Skills and Expertise:
- Proficiency in statistical analysis, machine learning algorithms, and predictive modeling.
- Strong background in database design, ETL processes, and SQL analysis.
- Expertise in programming languages such as R, Python, SAS, and tools like R Shiny, KNIME, and DataIku.
- Experience with cloud platforms including AWS, Google Cloud, or Azure.
Qualifications:
Educational Background:
- Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, or a related field.
- A Master’s degree in a relevant specialization is preferred.
Technical Expertise:
- Experience with data virtualization, analytics, and integration techniques.
- Proficiency in machine learning, real-time analytics, and big data platforms.
- Strong command of programming languages and self-service tools for data analysis.
Analytical and Problem-Solving Skills:
- Ability to perform complex data analysis and identify patterns and trends.
- Strong attention to detail and accuracy in data interpretation and reporting.
- Capability to design and implement effective strategies based on data insights.
Communication and Collaboration:
- Excellent communication skills to articulate data findings to non-technical stakeholders.
- Ability to work effectively in cross-functional and cross-regional teams.
Experience:
- Proven track record in developing and implementing data-driven solutions.
- Experience in managing and optimizing machine learning models in production environments.
Additional Info:
Compensation and Benefits:
- Competitive salary package aligned with industry standards.
- Performance-based incentives and bonuses.
- Tuition assistance and continuous learning opportunities.
- Comprehensive health and wellness programs.
Career Development:
- Opportunities for career advancement through internal promotions and job rotations.
- Access to 24/7 learning platforms to support your professional growth.
Work-Life Balance:
- Flexible work arrangements including a hybrid work model with options to work from home.
- Employee assistance programs and rewards and recognition initiatives.
Employee Discounts:
- Special discounts on FedEx services, travel, and more.
Equal Opportunity Commitment:
- FedEx is dedicated to fostering a diverse, equitable, and inclusive work environment.
- We are an equal opportunity employer and do not tolerate discrimination or harassment of any kind.
- We encourage applications from all qualified individuals, regardless of their background or experience level.
- Reasonable accommodations are provided for employees with physical and mental disabilities.
FedEx offers a dynamic work environment where you can contribute to innovative solutions that make a global impact. If you’re passionate about data science and eager to be part of a forward-thinking team, we invite you to apply for this exciting opportunity.
--Position is closed after 30 minutes of posting--
Please click here to apply.
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