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Contractual Computer Science Statistics Jobs in California

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field. * 3+ years of experience in data science, machine learning, or advanced analytics. * Strong ...

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field. * 3+ years of experience in data science, machine learning, or advanced analytics. * Strong ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

MS/PhD in computer science, statistics, or operations research or related technical discipline * Deep knowledge of machine learning, statistics, optimization or related field * Proficient in SQL, R ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines * 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 years experience extracting insights from large datasets, specifically employing programming languages ...

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Contractual Computer Science Statistics information

Which CS job has the highest salary?

In the field of computer science, roles such as machine learning engineer, data scientist, and software architect tend to have the highest salaries. These positions often require advanced skills, experience, and knowledge of tools like Python, cloud platforms, and big data technologies.

Are statisticians highly paid?

Statisticians, including those working in contract roles within computer science and data analysis, tend to have competitive salaries due to their specialized skills in data modeling, programming, and statistical software. Compensation varies based on experience, location, and industry, but generally, statisticians are considered well-paid professionals in the tech and data sectors.

What profession makes $400,000 a year?

In the field of computer science and statistics, senior roles such as data science directors, machine learning engineers, and quantitative research managers can earn $400,000 or more annually, especially with extensive experience, advanced skills, and working in high-paying industries like finance or technology. These positions often require advanced degrees, strong programming skills, and leadership responsibilities.

What is the difference between Contractual Computer Science Statistics vs Data Analyst?

AspectContractual Computer Science StatisticsData Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or PythonBachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau
Work EnvironmentProject-based, often contract roles in tech, finance, or research sectorsOffice or remote, analyzing data to inform business decisions across industries
Employer & Industry UsageTech companies, research institutions, consulting firmsBusiness, healthcare, marketing, finance

Contractual Computer Science Statistics professionals focus on applying statistical methods within computer science projects, often on a contractual basis, while Data Analysts interpret data to support business strategies. Both roles require similar technical skills but differ in scope and industry application.

Is statistics useful for computer science?

Statistics is highly useful for contract-based computer science roles, as it provides essential skills for data analysis, machine learning, and algorithm development. Understanding statistical methods helps in designing efficient systems and interpreting data accurately, which are key components in many computer science projects.
What are popular job titles related to Contractual Computer Science Statistics jobs in California? For Contractual Computer Science Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Contractual Computer Science Statistics jobs in California look for? The top searched job categories for Contractual Computer Science Statistics jobs in California are:
What cities in California are hiring for Contractual Computer Science Statistics jobs? Cities in California with the most Contractual Computer Science Statistics job openings:
Contractual Computer Science Statistics jobs near you
Infographic showing various Contractual Computer Science Statistics job openings in California as of June 2026, with employment types broken down into 20% Full Time, 73% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Scientist

Apogee Global RMS

San Jose, CA • On-site, Remote

Contractor

Posted 13 days ago

Job description

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision-making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data.
Key Responsibilities:
  • Build and optimize machine learning models and statistical algorithms.
  • Analyze large, structured and unstructured datasets to identify trends and insights.
  • Develop dashboards, visualizations, and automated reporting tools.
  • Partner with engineering, product, and business teams to integrate data-driven insights into strategy.
  • Validate model performance and ensure data quality, accuracy, and reliability.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Support ongoing AI/ML initiatives across the organization.

Requirements
  • Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python, R, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
  • Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
  • Ability to translate complex data into clear, actionable insights.
  • Strong communication and problem-solving skills.

Preferred Experience:
  • Experience working in technology, SaaS, or data-driven environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Exposure to NLP, LLMs, or generative AI.
  • Experience with MLOps tools and model deployment workflows.
  • Background working with sensitive or regulated data (nice to have).

Benefits
Why Choose Apogee:
  • Opportunity to work on high-impact, data-driven projects.
  • Collaborative, innovative team environment.
  • Flexible remote work options.
  • Professional growth in AI/ML and advanced analytics.
  • Competitive compensation based on experience.

How to Apply:
For applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com

Apply