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Computer Science Manager Jobs in Santa Monica, CA

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

... computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting Knowledge of agency ...

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ... Experience managing multiple testing scenarios and controlling false discovery rates. * Ability to ...

Showing results 21-40

Computer Science Manager information

See Santa Monica, CA salary details

$10

$29

$60

How much do computer science manager jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computer science manager in Santa Monica, CA is $29.58, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $36.68 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Manager vs Software Development Manager?

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

What are the most commonly searched types of Computer Science jobs in Santa Monica, CA?

The most popular types of Computer Science jobs in Santa Monica, CA are:

What cities near Santa Monica, CA are hiring for Computer Science Manager jobs?

Cities near Santa Monica, CA with the most Computer Science Manager job openings:

Senior Technical Product Manager, Data Science

2K

Los Angeles, CA • On-site

$136K - $179K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
2K is a global video game company headquartered in Novato, California, known for publishing titles developed by influential game studios. They are seeking a Senior Technical Product Manager in Data Science to drive the vision and execution of data science strategies, enhancing player experiences through analytics and machine learning.
Responsibilities:
• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection.
• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR).
• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.
Qualifications:
Required:
• 6+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision
• Experience with data science tools and platforms, such as Python, SQL, Databricks, TensorFlow, and R
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact
• Ability to translate complex data insights into clear product strategies and business opportunities
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management
Preferred:
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field
Company:
2K is a development studio that develops and publishes sports-based video games. It is a sub-organization of Take-Two Interactive Software. Founded in 2005, the company is headquartered in Novato, USA, with a team of 1001-5000 employees. The company is currently Late Stage.