Lead Data Scientist

Talentify

Plano (TX)

On-site

USD 120,000 - 180,000

Full time

13 days ago
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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 tackle high-impact business challenges across the enterprise. You will combine analytics, decision science, experimentation, ML, and optimization with business strategy to drive measurable outcomes in customer experience, operations, and growth.

Lead analytical teams, design experiments, and build decision-support tools; partner with leaders to frame problems, evaluate options, and deliver value beyond model development alone.

Qualifications

  • Bachelor’s degree in computer science, engineering, a quantitative field, or related; master’s preferred.
  • Proven track record of solving complex business problems with measurable results.
  • Strong proficiency in SQL, Python, statistical and predictive modeling and analytics.

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, machine learning, optimization, forecasting, and causal inference to improve decision-making.
  • Design experiments, A/B tests, and measurement frameworks to quantify business impact.
  • Build scalable models, dashboards, and decision-support tools for teams to act with confidence.
  • Collaborate with cross-functional leaders to identify opportunities and support execution.
  • Mentor analysts and data scientists in analytical rigor and business application.
  • Communicate findings clearly to technical and non-technical stakeholders.

Skills

SQL
Python
statistical modeling
predictive modeling
analytical methodologies
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

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