Experienced Full Stack Data Scientist – Predictive Modeling and Analytics for arenaflex Operations Decision Science

At arenaflex, we're on a mission to connect the world by flying millions of customers to 300+ locations each year. Our Operations Decision Science (ODS) department is at the forefront of this effort, using cutting-edge information technology and predictive modeling tools to drive airline performance and decision-making. We're seeking a talented graduate-degree intern Data Scientist to join our team and contribute to the development of machine learning and AI solutions that deliver exceptional air travel experiences.

About arenaflex

arenaflex is a leading airline that has been connecting the world for over 90 years. With a commitment to innovation, customer satisfaction, and operational excellence, we're dedicated to making air travel accessible, safe, and enjoyable for all. Our team is passionate about using data science and analytics to drive business decisions and improve our services.

Key Responsibilities

As a Data Scientist on our team, you'll have the opportunity to work on a wide range of projects that impact airline operations, customer experience, and business performance. Your primary functions will include:

• Partnering with experienced data scientists to develop advanced analytics solutions for complex business problems
• Collecting and analyzing data using SQL queries and exploratory data analysis techniques
• Presenting findings and recommendations to business stakeholders in a clear and actionable way
• Collaborating with cross-functional teams to implement data-driven solutions and drive business outcomes

What You Need to Succeed

To be successful in this role, you'll need:

• A Master's degree in Data Science, Statistics, Mathematics, Operations Research, or Computer Science
• Experience working with relational databases (SQL) and machine learning techniques (Python, SciKit Learn, R, SAS, or other data science platforms)
• Strong written, oral communication, and interpersonal skills
• A commitment to diversity, equity, and inclusion, and a willingness to work in a fast-paced environment
• A focus on data security and protection, with a commitment to maintaining the confidentiality and integrity of sensitive information

Benefits and Perks

At arenaflex, we believe that our people are our greatest asset. That's why we offer a comprehensive benefits package that includes:

• Competitive salary and performance-based incentives
• 401(k) with generous company contributions and matching
• Paid time off, including vacations, holidays, and paid personal time
• Comprehensive health benefits, including medical, dental, vision, short-term and long-term disability, and life insurance
• Family care support, including fertility assistance, surrogacy and adoption support, lactation support, and backup care programs
• Holistic well-being programs, including access to an employee assistance program, financial coaching, and mental health resources
• Domestic and international flight privileges for employees and eligible family members
• Career development programs to help you achieve your long-term professional goals
• Recognition rewards and awards through our Unstoppable Together platform
• Access to over 500 discounts, specialty savings, and voluntary benefits through Deltaperks, including car and home rentals, auto and home insurance, and childcare services

Work Environment and Culture

At arenaflex, we're committed to creating a workplace culture that's inclusive, diverse, and supportive. Our teams are passionate about using data science and analytics to drive business decisions and improve our services. We're dedicated to making air travel accessible, safe, and enjoyable for all, and we're looking for talented individuals who share our values and commitment to excellence.

How to Apply

If you're a motivated and talented data scientist looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter outlining your experience, skills, and qualifications for this role. We can't wait to hear from you! Apply Now Apply for this job