Introduction to blithequark and the Industry
blithequark is a leading organization in the private sector, dedicated to innovation and excellence. Our Advanced Innovation group is at the forefront of planning, creating, and maintaining large-scale technology solutions infused with creative designs, data analysis, and digital solutions. We believe that inclusion drives innovation and is the foundation of everything we do. Our shared purpose, "Connecting people. Uniting the world," drives us to be the best for our employees, customers, and everyone we serve. We achieve this with a genuinely diverse and inclusive workforce. Our team spans the globe, comprising diverse individuals working together with state-of-the-art technology to build the best in the industry.
Job Overview and Responsibilities
As a Senior Data Scientist - Statistics at blithequark, you will provide 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.
- Applying 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, balancing return on investment to time available.
- Designing scientific arrangement/developing hypotheses to test, understanding the limitations of analysis, and anticipating team questions to data and approach.
- Identifying solution quality risks and on-time risks, and understanding the business value, process, and assumptions before focusing on the selection of a technical solution.
- Grasping the intuition behind the numbers and 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, and speaking in a manner appropriate 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:
- A postgraduate degree (PhD or ABD) in statistics or a related quantitative discipline, including quantitative analysis and application of advanced statistical methods.
- Coursework or work experience with statistics or forecasting methods.
- Coursework or work experience in model prototyping through the use of statistical package(s), including SAS or SPSS, Minitab, or BI tools.
- Coursework or work experience with C, C++, Java, R, Python, or other structured programming languages.
- Excellent business, technical, verbal/written communication, presentation, and sales skills, with flexibility to adapt to a changing business environment.
- Good interpersonal skills and the 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.
- You must be legally authorized to work in the US for any employer without sponsorship.
Preferred Qualifications
While not essential, the following qualifications are preferred:
- A 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 blithequark/industry data sources.
- Structured programming for large-scale computer models.
- Demonstrated ability to create business value.
Career Growth Opportunities and Learning Benefits
At blithequark, we are committed to the growth and development of our employees. As a Senior Data Scientist, you will have access to a range of learning and development opportunities, including training programs, mentorship, and career advancement possibilities. You will be part of a dynamic team that values innovation, creativity, and collaboration, and you will be encouraged to share your ideas and expertise to drive business growth and improvement.
Work Environment and Company Culture
blithequark is a unique and exceptional workplace that values diversity, inclusion, and employee well-being. We offer a range of benefits, including health insurance, parental leave, and space available travel. Our employee-run "Business Resource Group" communities and elite benefits will make you feel valued and appreciated. We are committed to creating a positive and supportive work environment that allows our employees to thrive and reach their full potential.
Compensation, Perks, and Benefits
As a Senior Data Scientist at blithequark, you can expect a competitive salary range of $35-45 per year, as well as a range of perks and benefits, including health insurance, parental leave, and space available travel. We also offer a range of other benefits, including access to cutting-edge technology, training and development opportunities, and a dynamic and supportive work environment.
Conclusion
If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. As a Senior Data Scientist, you will be part of a dynamic team that values innovation, creativity, and collaboration, and you will have the opportunity to make a real impact on our business and our customers. Don't miss out on this chance to join our team and contribute to our mission of connecting people and uniting the world. Apply now and take the first step towards an exciting and rewarding career at blithequark.
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