Firm Name: Frontier Airlines

Numbers of Jobs: Associate Data Scientist

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: Denver

Job Details:

The reason why you would want to work for Frontier Airlines.

 Frontier is adamant that everyone should have access to the skies. We keep this promise by upholding the Low Fares Done Right philosophy. This phrase captures our guiding principles and is more than just a slogan. The support of each and every member of Team Frontier is necessary to realize this vision. Travelers can benefit from our rapidly growing route network thanks to our successful business model, and thanks to our bundled and unbundled pricing options, customers can tailor their travel experience and only pay for the services they need, ultimately saving money.

 That Which We Hold.

 Everyday implementation of Low Fares Done Right is our aim. In addition to providing competitive pricing, we must also make travel for our customers straightforward and convenient in order to uphold our "Done Right" promise. To achieve this, we carefully consider each decision we make and action we take. Effective resource management and thoughtful business management are required of us. Innovators and trailblazers who aren't afraid to try new things are what we need to be. We pride ourselves on being approachable and amiable, providing a welcoming environment that embodies Rocky Mountain Hospitality, despite the fact that our line of work requires us to soar high above the ground.

 Benefits offered by the employer.

•  At Frontier, we like to think that we are building something truly unique for our team members. Although we are here to work, there are a few nice benefits as well:.
•  The advantages of taking a flight with Frontier Airlines for you and your family.
•  To let your friends experience what makes us so great, buddy passes are available.
•  There are discounts available on a wide range of travel-related items, including hotels, cars to rent, cruises, and vacation packages.
•  offers on more than 2,000 other goods and services, including movie tickets, meals, luggage, and more.
•  Accept "Dress for your Day's" business-casual ambiance. ".
•  flexible working hours that encourage work/life balance.
•  The Total Rewards program, which begins the first of the month following your hire date, includes a competitive base salary, short- and long-term incentives, paid holidays, a 401(k) plan, vacation and sick time, and medical, dental, and vision insurance.
•  Each of us plays a part in bringing about change. The HOPE League, a non-profit organization sponsored by Frontier Airlines, is devoted to assisting employees financially during extremely trying circumstances.

 People That We Are.

 Frontier Airlines is committed to offering "Low Fares Done Right" on more than 350 daily flights to more than 100 destinations in the United States, Canada, the Dominican Republic, and Mexico. The committed aviation professionals at Frontier, which has its corporate headquarters in Denver, take great pride in offering customers the brand's recognizable Low Fares Done Right service. Due to its cutting-edge technology and efficient operations, the International Council on Clean Transportation (ICCT) recently named Frontier Airlines as the sector's most fuel-efficient airline. The Federal Aviation Administration awarded Frontier Airlines its 2018 Diamond Award for outstanding maintenance.

 What do you have planned?

 The Associate Data Scientist, Pricing and Revenue Management Decision Science (Remote Position Available) will be a member of a team that applies operations research, statistical, machine learning, product management, data engineering, and programming expertise to provide solutions to business problems. The data scientist will be able to see the immediate results of their own work and will work in a setting where putting forth novel ideas and approaches is encouraged. The Data Scientist will work with various teams in the Pricing and Revenue Management (PRM) division to identify business problems, conduct research, and put solutions into place. Process automation, the identification of critical new insights in data, and the application of a model to extract value from those insights could all be solutions. Supporting ongoing improvement of the systems, practices, tools, team, and oneself will be a top priority for the data scientists and decision scientists.

 Essential Objectives.

•  Design, execute, and deliver advanced quantitative analyses and models using operations research, statistical, machine learning, product management, and programming skills to direct decisions and actions, either by analysts or by systems.
•  Data engineering and programming abilities can be used for data cleansing, data flows, pipeline creation, model deployment to production, and more.
•  Work on pricing, yield management, ancillary services, etc. with partner teams. ) to better understand the issues being addressed, as well as to develop and refine new production models and automated solutions.
•  To all parties involved, including upper level management, share and present the analyses' and models' findings.
•  For most of your work, use Python, SQL, or another coding language.
•  Make testable hypothese, analyze the data, and decide what can and cannot be concluded.
•  team members as a collaborator and mentor.
•  Create and maintain code standards, take part in code reviews, and document workflows, models, and code.
•  Help with reporting when it's required.

 Additional Objectives.

•  List the responsibilities that are merely incidental to the position.

 Qualifications.

•  Economics, computer science, statistics, mathematics, engineering, or a related field bachelor's degree or higher is required.
•  The candidate should have a master's degree, preferably in computer science, data science, business analytics, or a related field.
•  SQL, Python, R, or other coding languages have been used professionally in the past.
•  It must have been in the past that analytical statistics were used professionally.
•  0–2 years of relevant professional experience.
•  Experience in yield- or revenue management, revenue analytics, revenue systems, or a related position is preferred.

 Information and skills.

•  independent model development and quantitative analysis evidence.
•  to be able to apply economics and pricing management concepts using coding models and analytical products.
•  capable of summarizing analytic approaches and products to effectively present insights and actions to upper management.
•  knowledge of statistical, machine learning, operations research, product management, programming, and these techniques.
•  effective implementation of data engineering solutions.
•  excellent quantitative and analytical skills.
•  Excellent communication skills in both writing and speaking.
•  Detail-oriented reporting and analysis are required.
•  Collaboration abilities with colleagues, business partners, and other departments.

 Using the machinery.

•  office furniture and equipment.

 Working setting.

•  This position can be carried out remotely from any location in the United States or on-site at our corporate offices in Denver, Colorado (regular travel from a Frontier-served city to Denver is required).
•  If working remotely, you must be able to adhere to our policies, which stipulate that you must be able to work comfortably from home and have access to high-speed internet.
•  The typical office setting is properly heated and cooled if the headquarters are there.

 The body's effort.

•  Not usually necessary.

 In charge of me.

•  General Instruction: The incumbent typically receives little training on daily tasks and only general instructions for new assignments.

 Places Where You Are Supervised.

 None.

 Levels of Pay.

•  Between $67,000 and $83,850 is the range.