Analyst : Data Scientist

Create Your Experience of a Lifetime! Come work and play in the mountains! Whether it's your first-time seeing snow or you were born on the slopes, joining our team means discovering (or re-discovering!) a passion for the outdoors while building lifelong connections with teammates and guests from around the world. With 40+ resorts across 3 continents, you can join our team for a season or stay to build a career. From day one, you'll receive some of the highest compensation rates in the industry, free Epic pass(es) along with free ski and snowboard lessons, 40% retail discounts, the chance to grow through Epic Service

• our leading training and development experience, and wellness benefits to fuel your success. Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Benefits
• Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
• MORE employee discounts on lodging, food, gear, and mountain shuttles
• 401(k) Retirement Plan
• Employee Assistance Program
• Excellent training and professional development
• Referral Program Full Time roles are eligible for the above, plus:
• Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
• Free ski passes for dependents
• Critical Illness and Accident plans

Job Summary:

As a Data Scientist at Vail Resorts, you will have a tangible impact on strategies guiding the company and enhancing the skiing experience for millions of people around the world. Owning a network of 40+ resorts, ranging from regional attractions to world-class destinations, we have compiled an industry-leading guest database to identify patterns, uncover trends, and predict behaviors. With a shared goal of growing our sport, you will partner with passionate and data-driven teams across the organization to bring new, high visibility initiatives to life. This role requires a blend of business intuition, technical aptitude, and statistical rigor. The Data Science team supports a variety of specialized operations, collaborating to translate their needs into technical solutions. Your ability to communicate appropriately with your audience will be key in gaining trust and adoption of your models.

Job Specifications:

• Starting Wage:

  $88, #
• # , #

• Employment Type:

  Year Round

• Shift Type:

  Full Time hours available

• Minimum Age:

  At least 18 years of age

•

Housing Availability:

No Job Responsibilities:

• Bring analytical curiosity and creative problem solving to derive value and identify connections and patterns across business units
• Apply sound mathematical practices to develop predictive models and conduct statistical analyses
• Develop a deep understanding of the data, operations, and context of your stakeholders
• Create materials to effectively communicate model performance and translate outputs into actionable recommendations
• Take ownership and accountability throughout the full project lifecycle to proactively advance your work and contribute to the team
• Continuously learn and evaluate new methods, tools, and technology

Job Requirements:

• B.S. degree in a quantitative field (Statistics, Economics, Math, Computer Science etc.)
• 1-2 years hands-on data science experience or graduate degree in a quantitative field
• Proficiency in Python and SQL with familiarity using git for version control
• Comfortable with big data, aggregating across sources, and engineering features
• Knowledge of the strengths and weaknesses of various machine learning algorithms and ability to evaluate model performance using appropriate metrics
• Strong verbal and written communication skills capable of engaging with audiences of varying technical aptitudes

Preferred:

• Experience with statistical techniques in experimental design, causal inference, Bayesian models, or time-series modeling
• Experience deploying models to production
• Experience working in cloud environment (Azure, AWS, GCP) or data lakehouse (DataBricks, Snowflake)
• Experience delivering advanced data engineering solutions using tools such as DBT or Spark/PySpark. The expected pay range is $88, #
• # , # .

This is the pay range we reasonably expect to pay for this position. Individual compensation decisions are based on a variety of factors. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition

ID 514552

Reference Date:

04/29/2026

Job Code Function:

Marketing