Decision Science Manager

Cinemark Holdings, Inc.

$110K — $130K *
Plano, TX 75025In-Person
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in data science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field; Master's preferred.
  • 5+ years applying data science or operations research to business decision-making with proven innovation.
  • 5+ years of hands-on experience with Python and SQL for large-scale analysis and automation.
  • Experience with Azure and Fabric for end-to-end model development and deployment.
  • Familiarity with orchestration tools like Apache Airflow, with MLOps/DevOps experience as a plus.
  • Skills in statistical and predictive modeling, and experience in building data visualizations with Power BI.

Responsibilities

  • Partner with business leaders to define and support operational business initiatives.
  • Lead projects and mentor junior team members in a corporate setting.
  • Design and develop predictive, classification, and forecasting models using structured and unstructured data.
  • Apply advanced ML techniques such as deep learning and NLP when appropriate.
  • Conduct A/B tests to measure the impact on revenue.
  • Manage the complete ML lifecycle from development to deployment and monitoring.
  • Create scalable dashboards in Power BI for performance and trend analysis.

Benefits

  • Employee Discount
  • 401(k) Matching
  • Growth Opportunities
  • Education Assistance
  • Health Benefits
  • Parental Leave
  • Paid Time Off
  • Daily Pay
  • Free Movies
Full Job Description

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.

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