Decision Scientist
2 weeks ago
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 : 9
**Who we are**
At FedEx, moving the world doesn’t only mean delivering for our customers around the globe. Moving the world is also about creating what’s next. We are Team FedEx consists of 500,000+ people strong around the world. The work we all do comes down to one purpose: to provide our customers with outstanding experiences as we connect the world to what’s next.
This isn’t a place to get just a job, here you get a career for life. It’s a place to enjoy constant change, growth, and progress in your career. Our willingness to innovate and transform is what keeps us at the forefront of our industry. With curiosity, inventiveness, and entrepreneurial spirit, we keep finding new and better ways to deliver results - for our customers, for our people and for the planet.
Here you will be given the flexibility and the empowerment to reimagine the new, spread your wings and see your impact. By doing so, we are motivated to be better together. And together, we always manage to drive and deliver excellence.
**Our Values**
Our culture values empower us to deliver great results. With one FedEx culture, we:
Take care of each other | Commit to do good | Own outstanding | Drive business results | Create what’s next
**Awards**
- FedEx has consistently ranked among the top 20 in the most admired companies in the “World’s Most Admired Companies” report, according to a survey published in FORTUNE magazine since 2001.
- Ethisphere named FedEx as One of the 2023 World’s Most Ethical Companies®.
**What you’ll be working on**
Job purpose:
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.
**What your main responsibilities are**
- Work cross-functionally with teams to analyze usage and uncovering key, actionable insights about customer behavior. Identify opportunities where scientific techniques can be applied to solve business problems
- Run statistical analysis and create predictive models based on past user data and behavior. Build and improve machine learning models used in production and manage existing models
- Designing and measuring controlled experiments to determine the potential impact of new approaches. Help with various data analysis and modeling projects
- Understanding and reporting current trends and performances in detail and identifying opportunities
- Place actionable data points and trends in context for leadership to understand actual performance and uncover opportunities. Take ownership of the end-to-end system from Problem statement to Solution Delivery and leverage other teams if required Qualifications & Specifications
- Bachelor's degree in computer science, engineering, statistics, economics or equivalent. Master's degree in relevant specification will be first preference
- Proven ability to use modeling, optimization, machine learning or text classification algorithms - Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes
- Data virtualization, analytics, and integration techniques
- Technology Prowess in R/Python/SAS/SQL/ R Shiny and other self-service tools (KNIME/ DataIku etc). Experience in AI/ Machine Learning, real time analytics and Big data platforms
- Cloud Platforms - AWS, Google or Azure
**What we are looking for**:
Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills
**What you can expect to get**
Attractive remuneration package includes:
- Attractive remuneration package includes:
- Salary as per agreed compensation structure
- Tuition Assistance
- Incentives (Bonus / AIC)
- Great Working Environment
Spread your wings and take ownership of your career with opportunities to advance through internal promotions, job rotations, and cross-functional projects.
- Complimentary 24/7 access to our learning platforms to support you in becoming who you want to be
- Work-life balance programs including hybrid work arrangement. WFH (work from home) and office
- Health & wellness, employee assistance, and rewards and recognition programs
- Special employee discounts on shipping, travel, and much more
**Equal opportunities commitment**
We do not tolerate discrimination or harass
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