Join Our Team

As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.

Role Summary:

JOB DESCRIPTION SUMMARY
Position is part of the Data & Decision Support group which is the advanced analytics service arm for Cinemark.
The position is responsible for leading the development and application of analytic methods for solving business problems and deriving business insight. This role has an enterprise focus supporting the key business objectives and core business functions of the organization. The position is also supervisory in nature overseeing one or more staff of data science professionals.

• Advanced numerical methods: develop and implement predictive models, segmentation methods, optimization algorithms, machine learning.
• Know and understand statistical limitations of data; keen understanding of analysis of variance.
• Perform work and analysis for a 'multi-channel' environment applying analytics to online and offline environments.
• Research and develop new forms of analytic methods applicable to relevant business objectives.
• Duties and responsibilities include but are not limited to business insights including all relevant behavior analysis, product and promotion testing, real estate, concessions (merchandise) performance and allocation.
• People leadership and influence skills with ability to communicate at all levels of organization, introduce new ideas, sell complex concepts, train staff.
• Produce compiled data, reports and 'visualized' results for all levels of the organization.

• MSc/PhD in Statistics, Math, Operation Research or related degree with 6+ years experience
• 3+ years hands-on experience and proficiency with:
  • Computational Programming with R, Python
  • Statistical Modeling
• Evidence of leadership capability. Ability to influence others.
• Knowledge of Classification Systems, Recommendation Systems, Predictive Modeling
• Objective evidence of advanced SQL capability, querying large, complex datasets using relational databases
• Proven analytical capability with intermediate to advanced knowledge of statistics as it relates to all aspects of data set analysis including error, experimental design
• Strong data interpretation, visualization and presentation skills
• Ability to explain statistical approaches/models used, rationale/merits of different approaches, results and interpretation to team members
• Able to work effectively in a collaborative team environment
• Familiarity with machine learning
• Intellectually curious / quick thinker
• Willingness / ability to take ownership as technical lead of a project and lead others