Decision Science Manager

Reposted 9 Days Ago
Be an Early Applicant
Plano, TX, USA
In-Office
Senior level
News + Entertainment
The Role
Lead design, build, deploy, and operate large-scale ML solutions for showtime demand forecasting and optimization. Mentor team members, run experiments and A/B tests, own end-to-end ML lifecycle, and build Power BI dashboards to monitor model performance.
Summary Generated by Built In

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

Skills Required

  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Operations Research or related quantitative discipline
  • Master's degree in a related quantitative discipline
  • 5+ years applying data science or operations research to business decision-making
  • 5+ years hands-on experience and proficiency in Python and SQL
  • Hands-on experience with Azure and Microsoft Fabric and leading end-to-end model development and deployment
  • Familiarity with workflow orchestration tools (e.g., Apache Airflow)
  • Experience with MLOps/DevOps practices
  • Experience deploying models via APIs, batch pipelines, or streaming architecture
  • Proficiency with Python libraries such as Pandas, scikit-learn, PyTorch, TensorFlow
  • Statistical and predictive modeling expertise, including time-series and NLP techniques
  • Experience building data visualizations and dashboards using Power BI, handling high-cardinality data
  • Ability to clearly explain analytical approaches, model assumptions, and results to technical and non-technical stakeholders
  • Strong analytical thinking, attention to detail, and ability to manage multiple priorities in a fast-paced environment
Am I A Good Fit?
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The Company
27,905 Employees
Year Founded: 1984

What We Do

Cinemark Holdings, Inc. is a theatrical exhibition company headquartered in Plano, Texas. It operates approximately 500 movie theaters across the United States and Latin America, providing out-of-home entertainment experiences for moviegoers. Its operations include cinemas, restaurants and related guest services, supported by theatre teams, technology support and corporate functions. Cinemark serves audiences across 42 U.S. states and multiple Latin American countries.

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