**Experienced Full Stack Data Scientist – Statistics and Analytics**

At arenaflex, we're on a mission to revolutionize the way we travel and connect with each other. As a leading airline, we're committed to innovation, diversity, and inclusion. We're seeking an experienced Full Stack Data Scientist to join our Advanced Innovation group, where you'll play a key role in shaping the future of our business. **About arenaflex** arenaflex is a global airline that's passionate about connecting people and cultures. Our mission is to make travel easier, more enjoyable, and more accessible to everyone. We're proud of our diverse and inclusive workforce, which spans the globe and is united by a shared passion for innovation and excellence. **Our Culture** At arenaflex, we believe that diversity is the key to success. We're committed to creating a workplace that's inclusive, supportive, and empowering for all our employees. We offer a range of benefits and perks, including: * Health insurance and wellness programs * Parental leave and family-friendly policies * Space available travel and discounts on arenaflex flights * Business asset gathering and professional development opportunities * A dynamic and supportive work environment that's driven by innovation and creativity **Job Summary** As a Full Stack Data Scientist, you'll play a critical role in helping us make data-driven decisions that drive business growth and improvement. You'll work closely with our business stakeholders to identify key challenges and opportunities, and develop data-driven solutions that meet their needs. Your expertise in statistics, analytics, and machine learning will help us stay ahead of the curve and make the most of our data assets. **Key Responsibilities** * Develop and implement data-driven solutions to business challenges, using a range of statistical and machine learning techniques * Collaborate with business stakeholders to identify key challenges and opportunities, and develop data-driven solutions that meet their needs * Design and implement data visualizations and reporting tools to help business stakeholders make informed decisions * Develop and maintain large-scale data models and algorithms, using a range of programming languages and tools * Work with cross-functional teams to develop and implement data-driven solutions that meet business needs * Stay up-to-date with the latest developments in statistics, analytics, and machine learning, and apply this knowledge to drive business growth and improvement **Essential Qualifications** * Postgraduate education (PhD or ABD) in a quantitative field, such as statistics, mathematics, or computer science * Strong expertise in statistics, analytics, and machine learning, with a focus on data-driven decision-making * Experience with a range of programming languages, including Python, R, and SQL * Strong business acumen and ability to communicate complex technical concepts to non-technical stakeholders * Excellent problem-solving and analytical skills, with a focus on data-driven decision-making * Ability to work collaboratively with cross-functional teams to drive business growth and improvement **Preferred Qualifications** * Experience with Julia programming language and organized programming for large-scale PC models * Minor in software engineering and formal high-level software engineering coursework * 2+ years of professional experience in a logical field * 1+ years of experience in the airline industry * Experience with BI tools and data visualization software **What We Offer** * Competitive salary and benefits package * Opportunity to work with a leading airline and make a real impact on the industry * Collaborative and dynamic work environment that's driven by innovation and creativity * Professional development opportunities and training programs to help you grow and succeed * Space available travel and discounts on arenaflex flights **How to Apply** If you're passionate about data science and analytics, and want to join a dynamic and innovative team, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that outlines your experience and qualifications for the role. We can't wait to hear from you! Apply Job! Apply for this job