Decision Science Manager

Cinemark; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Employee Discount

401(k) Matching

Growth Opportunities

Education Assistance

Health Benefits

Parental Leave

Paid Time Off

Daily Pay

Free Movies

Job summary

Cinemark is seeking a Decision Science Manager to solve high-impact business challenges by combining analytics, ML, optimization, and strategy. You’ll partner with leaders to frame problems, evaluate options, and deliver measurable outcomes that improve customer experience, operations, and growth.

The ideal candidate is technically strong, business-minded, and measures success by decision quality and value creation, not just model development.

Qualifications

• The candidate has 7+ years of experience in decision science or related field.
• Proven track record solving complex business problems with measurable results.
• Strong proficiency in SQL, Python, and analytical methodologies.
• Experience building dashboards in Power BI with high-cardinality data.
• Familiarity with Azure, Fabric, and modern data platforms.
• Strong business acumen, stakeholder management, and executive storytelling.

Responsibilities

• Lead end-to-end problem solving for strategic and operational challenges across the enterprise.
• Translate ambiguous business questions into analytical frameworks and actionable recommendations.
• Apply statistical analysis, predictive modeling, optimization, and forecasting to improve decisions.
• Design experiments and measurement frameworks to quantify impact.
• Build scalable models and dashboards to support decision-making.
• Partner with cross-functional leaders to identify opportunities and evaluate tradeoffs.
• Leverage diverse data to uncover enterprise insights for growth.
• Mentor analysts and data scientists in analytical rigor and business application.
• undefined

Skills

SQL

Python

Statistical modeling

Predictive modeling

Analytical methodologies

Executive communication

Stakeholder management

Education

Bachelor's degree in CS/Engineering/quantitative field

Master's degree preferred

Tools

Power BI

Azure

Microsoft Fabric

Job description

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:

The Decision Science Manager solves high-impact business challenges across Cinemark by combining advanced analytics, decision science, experimentation, machine learning, optimization, and business strategy. This role partners with leaders to frame ambiguous problems, evaluate alternatives, and deliver measurable outcomes that improve customer experience, operational performance, and enterprise growth.

The ideal candidate is a technically strong, business-minded problem solver who applies the right methods to the right questions and measures success by decision quality, adoption, and value creation—not model development alone.

Responsibilities:

• Lead end-to-end problem solving for strategic and operational business challenges across the enterprise.
• Translate ambiguous business questions into analytical frameworks, hypotheses, and actionable recommendations.
• Apply statistical analysis, predictive modeling, machine learning, optimization, simulation, forecasting, and causal inference to improve decision-making.
• Design experiments, A/B tests, and measurement frameworks to validate initiatives and quantify business impact.
• Build scalable models, dashboards, and decision-support tools that help teams act with confidence.
• Partner with cross-functional leaders to identify opportunities, evaluate tradeoffs, and support execution.
• Leverage customer, operational, financial, and market data to uncover insights that inform enterprise decisions.
• Mentor analysts and data scientists in analytical rigor, technical problem-solving, and business application.
• undefined

Requirements:

• Bachelor’s degree in computer science, Engineering, a quantitative field, technical discipline, or business-related field; master’s degree preferred.
• 7+ years of experience in decision science, data science, analytics, strategy, consulting, or a related field.
• Proven track record of solving complex business problems and driving measurable results.
• Strong proficiency in SQL, Python, statistical modeling, predictive modeling, and analytical methodologies.
• Experience building dashboards and data visualizations in Power BI, including working with high-cardinality data.
• Familiarity with Microsoft Azure, Microsoft Fabric, and modern data platforms.
• Strong business acumen, stakeholder management, executive storytelling, and communication skills.
• Ability to clearly explain analytical approaches, model assumptions, results, and implications to technical and non-technical stakeholders.
• Strong attention to detail and ability to manage multiple competing priorities in a fast-paced environment.

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