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Algorithm Scientist Jobs in Oklahoma (NOW HIRING)

The Data Scientist role builds and maintains predictive models, anomaly detection systems, and ... Build and maintain statistical models, machine learning algorithms, and predictive analytics using ...

The Data Scientist role builds and maintains predictive models, anomaly detection systems, and ... Build and maintain statistical models, machine learning algorithms, and predictive analytics using ...

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Develops algorithms using advanced mathematical and statistical techniques like machine learning to ...

Develops algorithms using advanced mathematical and statistical techniques like machine learning to ... Data Science, Machine Learning (ML), Machine Learning Methods, Model Risk Competencies Data ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

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Algorithm Scientist information

See Oklahoma salary details

$46.7K

$103.2K

$127.2K

How much do algorithm scientist jobs pay per year?

As of Jun 24, 2026, the average yearly pay for algorithm scientist in Oklahoma is $103,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $126,700.00 per year, depending on experience, location, and employer.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Oklahoma? For Algorithm Scientist jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Algorithm Scientist jobs? Cities in Oklahoma with the most Algorithm Scientist job openings:
Data Scientist

Other

Posted 16 days ago


Job description

Summary 
 
We are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.
The Data Scientist role builds and maintains predictive models, anomaly detection systems, and analytical tools that help casinos optimize player development, gaming operations, and compliance monitoring. This role will work closely with data engineers, product teams, and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecycle-from exploratory analysis and feature engineering through production deployment and ongoing monitoring.
Essential Duties and Responsibilities
  • Build and maintain statistical models, machine learning algorithms, and predictive analytics using gaming and behavioral data (segmentation, churn prediction and lifetime value models)
  • Create anomaly detection systems for fraud and compliance monitoring
  • Collaborate with data engineers to collect and preprocess data, and build and maintain data pipelines
  • Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
  • Document models and use data visualization tools to communicate insights and findings to stakeholders
Requirements
  • BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
  • Strong Python programming skills and proficiency in SQL for data extraction and analysis
  • Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc.
  • Experience with machine learning frameworks (scikit-learn, pandas) and deep learning libraries (PyTorch or TensorFlow), along with fundamental ML concepts (model evaluation, cross-validation, feature engineering)
  • Strong communication and story-telling skills, and ability to work collaboratively with cross-functional teams
  • Intellectual curiosity and comfort with ambiguity; we're building new things, not following playbooks
Certified Banana Picker
Preferred Experience
  • Experience with cloud platforms, especially AWS (S3, SageMaker, Lambda, etc)
  • Exposure to time-series analysis, survival models, or probabilistic modeling
  • Familiarity with model lifecycle management, CI/CD, containers, model monitoring, and feature stores
  • Exposure to causal inference concepts (A/B testing, uplift modeling, experimental vs. observational data)
  • Experience with data visualization (matplotlib, seaborn, plotly, etc.)

About CCT

Founded in 2012, CCT pioneered revenue audit automation for land-based casinos, eliminating manual reconciliation processes and improving financial visibility. The company's flagship platform, Insight Cash, provides a detailed, audit-ready view of cash transactions across the casino floor, ensuring compliance, operational efficiency, and fraud prevention. Today, CCT serves over 350 casinos across the United States, Canada and the Caribbean, helping operators streamline financial workflows and reduce audit-related labor costs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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