Experienced Full Stack Data Scientist – Statistics and Machine Learning for arenaflex

Join arenaflex's Advanced Innovation group and be part of a team that plans, creates, and maintains highly scalable innovation solutions revitalized with imaginative designs, data analysis, and automated arrangements.

About arenaflex

arenaflex is a leading organization that believes in the power of diversity and inclusion. Our mission is to "Associate people. Join the world." and we strive to be the best carrier for our employees, customers, and everyone we serve. Our team spans the globe, comprised of diverse individuals working together with cutting-edge technology to build the best aircraft in the history of aviation. With numerous employee-run "Business Asset Gathering" teams and elite benefits like health insurance, parental leave, and space-available travel, arenaflex is truly a unique work environment that will make you feel valued and appreciated. Come join our team and help us make a positive impact on the world.

Work Overview and Responsibilities

As a Senior Data Scientist - Statistics, you will provide numerical modeling and analysis services to support critical financial, operational, and strategic decision-making and participate in supporting project teams in value-added activities that create feasible solutions for complex business issues. You will investigate new business options and drive improvement in business decisions.

Key Responsibilities:

* Develop methodologies and strategies to define and tackle management issues through quantitative analysis and insightful models using metrics, AI, forecasting procedures, and structured programming languages

• Identify, investigate, or resolve large complex issues using big data and insights, forecasting, and AI standards
• Use understanding of the business cycle to identify and implement metrics, forecasting, and AI solutions that will result in significant bottom-line contributions
• Develop and create metrics, forecasting, and AI model applications, and provide client support using data research information
• Participate in model design, model, and model development for multiple projects that occur simultaneously, and collaborate with product delivery teams
• Raise concerns when the scope of investigation may not align with the time available and can choose a suitable scope of investigation to conduct adjusting return on investment to time available
• Plan scientific approach/foster hypotheses to test
• Determine limitations of investigation (what it can and cannot be used for)
• Anticipate working 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 intuition behind the numbers (e.g., does it make sense?)
• Offer ongoing analytical services to client associations
• Present results to management and clients
• Contribute deck content and assemble the story for the deck with direction to summarize findings
• Create and present presentations aligned with AI standards
• Communicate in a manner suitable for the working group and their level +1
• Stay informed about the latest scientific methods and research in the metrics, forecasting, AI, and analysis fields

arenaflex is an equal opportunity employer. arenaflex initiates, uses, trains, adjusts, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.

Requirements:

* 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
• Excellent business, technical, verbal/written communication, presentation, and sales skills. Versatility to changing business climate
• Excellent interpersonal skills and ability to interact with clients
• Proficient with MS Office
• Successful completion of interview expected to meet work capabilities
• Solid, reliable attendance is a fundamental requirement of the position
• Must be lawfully authorized to work in the US for any employer without sponsorship
• Successful completion of interview expected to meet work capability
• Solid, reliable attendance is a fundamental requirement of the position

Preferred:

* Minor in computer science as well as formal high-level computer science coursework

• 2+ years of professional experience in the scientific 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
• Demonstrated ability to create business value

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