Experienced Full Stack Data Scientist – Statistics and Predictive Modeling

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 developing and implementing cutting-edge data-driven solutions that drive business growth and improve customer experiences.

About arenaflex

arenaflex is a world-class airline that's passionate about connecting people and cultures. Our team is made up of talented individuals from diverse backgrounds, united by a shared vision of innovation and excellence. We're committed to creating a workplace that's inclusive, supportive, and empowering, where everyone has the opportunity to grow and thrive.

Our Culture

At arenaflex, we believe that diversity is the key to success. We're an equal opportunity employer, and we're committed to creating a workplace that's free from bias and prejudice. Our team is made up of people from all walks of life, and we celebrate our differences as a strength. We're passionate about innovation, and we're always looking for new ways to improve our services and products.

Work Environment and Benefits

As a Full Stack Data Scientist at arenaflex, you'll be part of a dynamic and collaborative team that's passionate about data-driven decision-making. You'll have the opportunity to work on a wide range of projects, from predictive modeling to data visualization, and you'll be supported by a team of experienced professionals who are dedicated to helping you succeed. We offer a comprehensive benefits package that includes:

• Competitive salary and bonuses
• Comprehensive health insurance
• Generous parental leave policy
• Access to state-of-the-art technology and tools
• Opportunities for professional development and growth
• A dynamic and inclusive work environment

Job Responsibilities

As a Full Stack Data Scientist at arenaflex, you'll be responsible for:

• Developing and implementing data-driven solutions that drive business growth and improve customer experiences
• Collaborating with cross-functional teams to identify business opportunities and develop data-driven strategies
• Designing and implementing predictive models that drive business outcomes
• Developing and maintaining data visualizations and reports that inform business decisions
• Working with stakeholders to identify business needs and develop data-driven solutions
• Staying up-to-date with the latest trends and technologies in data science and analytics

Key Responsibilities:

* Develop and implement numerical modeling and analysis services to support business financial, operational, and strategic planning decisions

• Participate in supporting project teams in value-added activities that create feasible solutions to complex business problems
• Investigate new business opportunities and drive improvement in business decisions using large data and insights, forecasting, and AI principles
• Use understanding of the business cycle to identify and implement metrics, forecasting, and AI solutions that result in significant bottom-line contributions
• Develop and maintain metrics, forecasting, and AI model applications, and provide client support using data research activities
• Participate in model design, model, and model development for multiple projects that occur concurrently, and collaborate with product delivery teams
• Raise concerns when the scope of investigation may not align with the time available and can select a suitable scope of investigation to conduct, adjusting return on investment to time available
• Plan scientific approach/foster hypotheses to test
• Identify limitations of investigation (what it can and cannot be used for)
• Expect to work group questions to data and approach
• Identify solution quality risks and on-time risks
• Understand the business value, cycle, and expectations before focusing on the choice of a technical solution
• Grasp the instinct behind the numbers (e.g., does it make sense?)
• Offer ongoing analytical services to client associations
• Convey results to management and clients
• Contribute deck content and assemble the story for the deck with direction to summarize findings
• Create and convey presentations aligned with AI standards
• Communicate in a way suitable for the work group and their level +1
• Stay informed about the latest scientific methods and research in the metrics, forecasting, AI, and analysis fields

Essential Qualifications:

* Postgraduate education (PhD or ABD)

• Insights or other related quantitative discipline including quantitative analysis and use of advanced statistical methods
• Coursework or work experience with metrics or potentially forecasting methods
• Coursework or work experience in model prototyping through use of statistical package(s) including SAS or SPSS, Minitab or potentially BI tools
• Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
• Strong business, technical, verbal/written communication, presentation, and sales abilities. Versatility to changing business climate
• Strong interpersonal skills and ability to interact with clients
• Proficient with MS Office
• Successful completion of interview expected to meet work capabilities
• Solid, reliable participation is a fundamental capability of the position
• Should be lawfully authorized to work in the US for any business without sponsorship

Preferred Qualifications:

* Minor in software engineering as well as formal high-level software engineering coursework

• 2+ years of professional experience in the logical field
• 1+ years of aircraft business experience
• 1+ years planning and programming/coding data structures for large-scale computer models
• Experience with Julia programming language
• Knowledge of arenaflex/industry data sources
• Structured programming for large-scale computer models
• Shown ability to create business value

How to Apply

If you're a motivated and talented data scientist who's passionate about innovation and excellence, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and explore how you can contribute to our team's success. Apply Job! Apply for this job