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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:
What is a Data Scientist?
A Data Scientist is part of the Data and Decision Support group which is the advanced analytics service arm for Cinemark. The Data Scientist is responsible for development and application of analytic methods for solving business problems and deriving consumer and business insight. The Data Scientist has an enterprise focus supporting the key business objectives and core business functions of the organization.The highest priority requirement of a Data Scientist is curiosity and personal drive to over-deliver on internal stakeholders' needs for analysis and insight. The Data Scientist will have open access to all forms of enterprise data and the scope of work covers basic to advanced numerical methods including modeling and simulation. Regression, clustering, deep learning, classification, optimization and machine learning all potentially play a role in this function. This is truly an amazing opportunity to be on the ground floor of designing and building the decision sciences competency for a multi-billion dollar entertainment operation.
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A Day in the Life of a Data Scientist:
- 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 consumer insights including all relevant customer behavior analysis, product and promotion testing, real estate, concessions (merchandise) performance and allocation.
- Produce compiled data, reports and 'visualized' results for all levels of the organization.
What You Will Need to Have:
- MSc/PhD in Statistics, Math, Computer Science, Operation Research or related degree with 4+ years' experience
- 2+ years hands-on experience and proficiency with:
- Computational Programming with R
- Scripting with Python
- Statistical Modeling
- 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
- Experience in working with customer data in a retail/entertainment business environment preferred.
- Visualization tools experience, PowerBI preferred
- 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
DISCLAIMER: This job description is not an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned.
All Cinemark locations are designated smoke-free workplaces. This includes vapor, electronic, conventional, cigars, etc.
Cinemark USA, Inc. is an Equal Opportunity Employer
All Cinemark locations are designated smoke-free workplaces. This includes vapor, electronic, conventional, cigars, etc.
Cinemark USA, Inc. is an Equal Opportunity Employer