Introduction to arenaflex
arenaflex is a pioneering organization in the private industry, dedicated to connecting people and uniting the world through innovative technology solutions, data analysis, and digital transformations. Our Advanced Innovation group is at the forefront of planning, creating, and maintaining hugely scaling technology arrangements that are rejuvenated with imaginative designs, information analysis, and digital solutions. We believe that inclusion drives innovation and is the foundation of all that we do, and we strive to be the best workplace for our employees, customers, and everyone we serve.
Job Overview and Responsibilities
As a Senior Data Scientist - Statistics at arenaflex, you will play a crucial role in providing numerical modeling and analysis services to support critical financial, operational, and strategic planning decisions. You will participate in supporting project teams in value-added activities that generate practical solutions to complex business problems, explore new business opportunities, and drive improvement in business decisions. Your key responsibilities will include:
- Developing the strategy and methodologies to define and solve management problems through quantitative analysis and analytical models using statistics, machine learning, forecasting procedures, and structured programming languages
- Identifying, analyzing, or solving large complex problems using big data and statistics, forecasting, and machine learning principles
- Using understanding of the business cycle to identify and implement statistical, forecasting, and machine learning solutions that will result in significant bottom-line contributions
- Building and developing statistical, forecasting, and machine learning model applications, and providing client support using operations research data
- Participating in model design, modeling, and model development for multiple initiatives that occur concurrently, and engaging with product delivery teams
- Raising concerns when the scope of analysis may not align with time available and selecting an appropriate scope of analysis to conduct, adjusting return on investment to time available
- Designing scientific arrangement/developing hypotheses to test
- Understanding the limitations of analysis (what it can and can't be used for)
- Anticipating and addressing team questions to data and approach
- Identifying solution quality risks and on-time risks
- Understanding the business value, process, and assumptions before focusing on the selection of a technical solution
- Grasping the intuition behind the numbers (e.g., does it make sense?)
- Providing ongoing analytical services to client organizations
- Communicating results to management and clients
- Contributing deck content and building the story for the deck with guidance to summarize findings
- Creating and delivering presentations aligned with AI standards
- Communicating in a way suitable for working groups and their level +1
- Staying informed about the latest scientific techniques and research in the statistics, forecasting, machine learning, and analysis fields
Essential Qualifications
To be successful in this role, you will need to possess the following essential qualifications:
- Postgraduate education (PhD or ABD) in statistics or other related quantitative discipline, including quantitative analysis and application of advanced statistical techniques
- Coursework or work experience with statistics or possibly forecasting methods
- Coursework or work experience in model prototyping through the use of statistical package(s), including SAS or SPSS, Minitab, or possibly 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, with flexibility to adapt to a changing business environment
- Good interpersonal skills and ability to engage with clients
- Proficiency with MS Office
- Successful completion of an interview is expected to meet job qualifications
- Strong, reliable attendance is a fundamental requirement of the position
- Must be legally authorized to work in the US for any employer without sponsorship
Preferred Qualifications
While not essential, the following qualifications are preferred:
- Minor in computer science or formal advanced computer science coursework
- 2+ years of professional experience in a scientific field
- 1+ year of airline industry experience
- 1+ year of experience planning and programming/coding data structures for large-scale computer models
- Experience with the Julia programming language
- Knowledge of arenaflex/industry data sources
- Structured programming for large-scale computer models
- Demonstrated ability to create business value
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to providing our employees with opportunities for career growth and development. As a Senior Data Scientist - Statistics, you will have the chance to work on complex and challenging projects, collaborate with cross-functional teams, and develop your skills and expertise in statistical analysis, machine learning, and data science. You will also have access to training and development programs, mentorship, and opportunities to attend industry conferences and workshops.
Work Environment and Company Culture
arenaflex is a dynamic and inclusive workplace that values diversity, equity, and inclusion. We believe that our employees are our greatest asset, and we strive to create a work environment that is supportive, collaborative, and empowering. We offer a range of benefits, including health insurance, parental leave, and space-available travel, as well as opportunities to participate in employee resource groups and community service initiatives.
Compensation, Perks, and Benefits
arenaflex offers a competitive salary range of $35-45 per year, as well as a range of perks and benefits, including:
- Comprehensive health insurance
- Parental leave and family-friendly policies
- Space-available travel and other travel benefits
- Opportunities for professional development and career growth
- Recognition and reward programs
- Employee resource groups and community service initiatives
Conclusion
If you are a motivated and experienced data scientist with a passion for statistical analysis and business growth, we encourage you to apply for this exciting opportunity at arenaflex. As a Senior Data Scientist - Statistics, you will have the chance to work on complex and challenging projects, collaborate with cross-functional teams, and develop your skills and expertise in statistical analysis, machine learning, and data science. Don't miss out on this opportunity to join a dynamic and inclusive workplace that values diversity, equity, and inclusion, and offers a range of benefits and opportunities for career growth and development. Apply now to join the arenaflex team and help us make a positive impact on the world!
Apply Now