Data Scientist

ccess 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.

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.

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

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

• 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

Benefits Available:

At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.

• Employee Discount

• 401(k) Matching*

• Growth Opportunities

• Education Assistance*

• Health Benefits*

• Parental Leave*

• Paid Time Off*

• Daily Pay*

• Free Movies*

• Benefits may vary by career category, so be sure to check the specific details on our career site.

DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Cinemark is an Equal Opportunity Employer