Experienced Data Science Intern - Unlock Your Potential in a Dynamic and Remote Environment with a Leading Logistics Company

Introduction to FedEx Dataworks FedEx Dataworks is at the forefront of innovation, leveraging data science and technology to drive business success and customer satisfaction. As a leader in the logistics industry, we are committed to fostering a culture of excellence, diversity, and inclusion. Our team is passionate about making a difference, and we are excited to invite talented individuals to join our ranks as a Data Science Intern. This is an exceptional opportunity to gain valuable experience, develop your skills, and contribute to the success of our organization. Job Overview As a Data Science Intern at FedEx Dataworks, you will be an integral part of our team, working on projects that have a significant impact on our business and customer experience. You will have the freedom to work remotely, enjoying the flexibility and autonomy to deliver high-quality results. Our internships are designed to provide you with real-world experience, exposure to cutting-edge technologies, and the opportunity to apply theoretical concepts to practical problems. You will be working closely with our experienced data science professionals, who will guide and mentor you throughout your internship. Key Responsibilities Presentation and delivery of long-term solutions that drive business success and enhance customer experience Participation in networking and community service events to promote our brand and values Performance of various tasks and projects as assigned, with a focus on data analysis, machine learning, and optimization Development of basic programming skills in languages such as Python, SQL, and other relevant tools Application of mathematical optimization and solution methods for linear and integer programming Design and building of machine learning models to solve complex business problems Essential Qualifications To be successful in this role, you should possess the following essential qualifications: Currently enrolled student or recent college graduate (within 6 months of graduation) at a college/university with a minimum GPA of 3.0 Degree in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative discipline No prior experience is required, but a strong foundation in data science and analytics is desirable Basic knowledge of Microsoft Word, Excel, Outlook, and PowerPoint Excellent interpersonal communication skills, with the ability to work productively and proactively in a team environment Time management, organizational, and multi-tasking skills to handle various tasks and priorities in a fast-paced environment Verbal and written communication skills to communicate effectively with business units and management Ability to analyze, review, and make recommendations on complex data sets Preferred Qualifications While not required, the following qualifications are highly desirable: Experience with data science tools and technologies, such as Python, R, SQL, and machine learning libraries Knowledge of data visualization tools, such as Tableau or Power BI Familiarity with cloud-based platforms, such as AWS or Azure Experience with agile development methodologies and version control systems, such as Git Strong understanding of statistical modeling and data mining techniques Career Growth and Learning Benefits At FedEx Dataworks, we are committed to the growth and development of our interns. You will have access to: Mentorship from experienced data science professionals Training and development programs to enhance your skills and knowledge Opportunities to work on real-world projects and contribute to business success Exposure to cutting-edge technologies and tools A network of talented professionals who share your passion for data science Work Environment and Company Culture Our company culture is built on a foundation of respect, diversity, and inclusion. We value our employees and provide a work environment that is: Collaborative and dynamic, with a focus on teamwork and innovation Flexible and autonomous, with opportunities for remote work and professional growth Committed to diversity, equity, and inclusion, with a focus on creating a welcoming and inclusive workplace Recognized for its excellence, with numerous awards and accolades for our business practices and community involvement Compensation and Benefits We offer a competitive salary of $40/hour, as well as a range of benefits, including: Opportunities for professional growth and development Flexible work arrangements, including remote work options A comprehensive benefits package, including health, dental, and vision insurance A 401(k) retirement savings plan with company match A dynamic and inclusive work environment, with a focus on diversity and community involvement Conclusion If you are a motivated and talented individual with a passion for data science, we encourage you to apply for this exciting opportunity. As a Data Science Intern at FedEx Dataworks, you will have the chance to make a real difference, develop your skills, and contribute to the success of our organization. Don't miss out on this fantastic opportunity to grow your career and join our team of talented professionals. Apply today! Availability to work 40 hours/week for a 10-week program, June 9th - August 15th, is required. Please ensure your resume includes your email address, telephone number, name of college/university, degree, major, GPA, and date of intended graduation (month & year). FedEx Dataworks is an Equal Opportunity/Affirmative Action employer, committed to diversity, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable them to perform the essential functions of the position. If a reasonable accommodation is needed, please contact [email protected]. Apply for this job