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Contract Data Scientist Risk Jobs in Frisco, TX (NOW HIRING)

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... binding contract. Cinemark reserves the right to amend, change or terminate the , as it deems ...

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... binding contract. Cinemark reserves the right to amend, change or terminate the , as it deems ...

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... binding contract. Cinemark reserves the right to amend, change or terminate the , as it deems ...

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... binding contract. Cinemark reserves the right to amend, change or terminate the , as it deems ...

As a Data Scientist Vice President within the Fraud Strategy team, you will shape and execute fraud risk strategies, leveraging advanced analytics and cross-functional collaboration to protect our ...

You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams ... ML, data science, or related fields. * Strong background in analyzing and translating digital ...

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Deep understanding of freight market dynamics, including the interaction between spot and contract ...

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Deep understanding of freight market dynamics, including the interaction between spot and contract ...

Showing results 41-60

Contract Data Scientist Risk information

See Frisco, TX salary details

$35.1K

$114.9K

$183.9K

How much do contract data scientist risk jobs pay per year?

As of Sep 5, 2026, the average yearly pay for contract data scientist risk in Frisco, TX is $114,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $127,300.00 per year, depending on experience, location, and employer.

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.

What are the most commonly searched types of Data Scientist Risk jobs in Frisco, TX?

The most popular types of Data Scientist Risk jobs in Frisco, TX are:

What are popular job titles related to Contract Data Scientist Risk jobs in Frisco, TX?

For Contract Data Scientist Risk jobs in Frisco, TX, the most frequently searched job titles are:

Infographic showing various Contract Data Scientist Risk job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $114,875 per year, or $55.2 per hour.

Lead Data Scientist

Cinemark USA, Inc

Plano, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Cinemark rating

5.7

Company rating: 5.7 out of 10

Based on 529 frontline employees who took The Breakroom Quiz

17th of 42 rated movie theaters


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 Lead Data Scientist is a technical leader responsible for designing, building, deploying, and operating data science and machine learning solutions at scale. This role combines advanced modeling expertise with strong MLOps ownership, ensuring models move reliably from experimentation to production and deliver sustained business value. A highly motivated problem-solver who works cross-functionally across the organization to design, evaluate, and support showtime demand forecasting and optimization initiatives.

Responsibilities:

  • Partner with business leadership and cross-functional teams to define, support, and operationalize business initiatives.
  • Lead projects and mentor junior team members in an enterprise environment.
  • Lead the design and development of predictive, classification, forecasting, and generative AI models using structured and unstructured data
  • Apply advanced techniques including tree-based‑based models, time‑series, deep learning, and NLP where appropriate
  • Design, execute, and evaluate A/B tests to measure an incremental impact on revenue.
  • Own the end-to-end ML lifecycle: development, testing, deployment, monitoring, and retraining‑to‑end ML lifecycle
  • Architect scalable dashboards in Power BI that handle high-cardinality dimensions using aggregations, extracts, semantic models, row-level security, and incremental refresh to monitor performance, trends and accuracy.

Requirements:

  • Education
    • Bachlelor’s degree in data science, Computer Science, Engineering, Statistics, Mathematics, Operations Research or a related quantitative discipline.  Master's degree is preferred.
       
  • Experience
    • 5+ years of experience applying data science or operations research to business decision-making, with a demonstrated track record of innovation and impact.
       
  • Required Skills & Expertise
    • 5+ years of hands-on experience and proficiency in Python and SQL for large-scale data analysis, modeling, and automation.
    • Hands-on experience with Azure and Fabric and the ability to lead end-to-end model development and deployment.
    • Familiarity with workflow orchestration tools (e.g., Apache Airflow). Experience with MLOps / DevOps is a strong plus.
    • Experience deploying models via APIs, batch pipelines, or streaming architecture
    • Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow
    • Statistical and predictive modeling
    • Experience building data visualizations and dashboards using Power BI, including working with high-cardinality data.
    • Ability to clearly explain analytical approaches, model assumptions, results, and implications to technical and non-technical stakeholders.
    • Strong analytical thinking, 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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About Cinemark

Sourced by ZipRecruiter

Headquartered in Plano, TX, Cinemark Holdings, Inc. provides premium out-of-home entertainment experiences as one of the largest and most influential theatrical exhibition companies in the world with 507 theatres and 5,765 screens in the U.S. and Latin America as of September 30, 2023. • Our circuit is the third largest in the U.S. with 315 theatres and 4,370 screens in 42 states. • We ranked either #1 or #2 by box office revenues in 80% of our top 25 markets. • We are one of the most geographically diverse circuits in Latin America with 192 theatres and 1,395 screens in 13 countries. • We had a presence in 15 of the top 20 metropolitan cities in South America.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Plano, TX, US

Year founded

1984