Company

Cinemark Holdings, Inc.See more

addressAddressPlano, TX
type Form of workFull-Time
CategorySales/marketing

Job description

Headquartered in Plano, TX, Cinemark Holdings, Inc. is a leader in the motion picture exhibition industry with 500+ theatres in the U.S. and Latin America.
Join Our Team!
Do you enjoy working together as a team to accomplish major goals? Join Cinemark to utilize and expand your skills! We are dedicated to making the movie experience memorable, "One Guest at a time." Our world class talent creates a warm and friendly culture through shared values.
A Data Scientist - Intern is part of the Consumer Intelligence & Analytics group which is the advanced analytics service arm for Cinemark. The Data Scientist - Intern is responsible for development and application of analytic methods for solving business problems and deriving consumer and business insight. The Data Scientist - Intern has an enterprise focus supporting the key business objectives and core business functions of the organization. The highest priority requirement of a Data Scientist - Intern is curiosity and personal drive to over-deliver on internal stakeholders' needs for analysis and insight. The Data Scientist - Intern 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.
A Day in the Life of a Data Scientist - Intern:

  • 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.

Qualifications:
  • A Master's or PhD degree in Analytics, Engineering, Computer Science, Statistics, Mathematics, Operations Research, or any other quantitative field of study.
  • At least 2 years of hands-on experience with:
    • Computational Programming with Python and R
    • ETL process and Advanced SQL
    • Statistical Modeling
    • Knowledge of Data Science techniques such as Classification Systems, Recommendation Systems, Predictive Modeling, Experimental Design
  • Experience in working with customer data in a retail/entertainment business environment preferred.
  • Familiarity with machine learning.

Responsibilities:
  • Develop and implement statistical models and algorithms to analyze large datasets.
  • Interpret and present data insights to team members and stakeholders.
  • Collaborate with cross-functional teams to identify business opportunities and provide data-driven solutions.
  • Take ownership as technical lead of a project.
  • Use data visualization tools such as PowerBI to create compelling visualizations.

Skills:
  • 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.
  • Intellectually curious and quick thinker.
  • Able to work effectively in a collaborative team environment.

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.
Cinemark USA, Inc. is an Equal Opportunity Employer
Refer code: 7908407. Cinemark Holdings, Inc. - The previous day - 2024-01-26 03:47

Cinemark Holdings, Inc.

Plano, TX
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