Data Scientist

Cinemark•Plano, TX

About The Position

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: As part of the Data Science 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 scope of work covers basic to advanced numerical methods including modeling and simulation. Regression, 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.

Requirements

MS in Statistics, Math, Engineering, Computer Science, Operation Research or related degree with 3-5 years’ experience
3 + years of hands-on experience and proficiency with the following areas
Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch
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
Visualization tools experience, Power BI 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

Nice To Haves

Experience in working with customer data in a retail/entertainment business environment preferred

Responsibilities

Design, optimize , and automate end-to-end pricing implementation workflows to reduce manual effort, improve speed-to-market, and ensure pricing accuracy across systems and channels
Develop and implement analytical solutions using established numerical and statistical methods, including predictive modeling, segmentation, optimization techniques, and basic machine learning, to support pricing processes.
Apply statistical best practices by understanding data limitations, variance, and uncertainty, and ensuring analyses and automated outputs are appropriately validated .
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.