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Computer Science Statistics Jobs (NOW HIRING)

VTG

Data Scientist

Mclean, VA

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

Apex Informatics

Data Scientist

Irving, TX · On-site

Duration: 6-12 months Detail Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Master's degree or higher preferred. Minimum 10 years of professional experience as a ...

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How much do computer science statistics jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer science statistics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

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Computer Science Statistics jobs near you

Data Scientist, Applied Science

Future Secure AI

Austin, TX • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Key responsibilities

  • Evaluate and develop machine learning models to understand user intent, predict workflow needs, and enhance human-AI collaboration.

  • Extract, clean, and analyze large volumes of interaction data to identify patterns and develop features for AI models.

  • Collaborate with engineering teams to deploy machine learning models into production and monitor their performance.

Job description

Job Summary:
Future Secure AI is a company at the forefront of AI, tackling significant real-world problems for global enterprises. They are seeking a highly motivated Sr. Data Scientist to contribute to the development and improvement of AI models for proactive intelligence capabilities, working with a team of engineers and scientists to enhance human-AI collaboration.
Responsibilities:
• Model Development & Innovation: Evaluate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources
• Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems
• Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining
• Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform’s capabilities
• Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration
• Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers
• Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai
• Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights
Qualifications:
Required:
• 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning)
• Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data mining, data cleaning, and feature engineering
• Strong analytical and problem-solving abilities
• Excellent communication and collaboration skills
Preferred:
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• Experience with cloud computing platforms (AWS, Azure, GCP)
Company:
As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers Founded in , the company is headquartered in , , with a team of 201-500 employees. The company is currently Growth Stage.

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