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Permanent Computer Science Statistics Jobs in California

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · On-site

$48 - $62/hr

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

Ignite Digital

Mid Data Scientist

San Diego, CA · On-site

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) * 2 to 5+ years of applied experience in data science ...

Apple

FindMy Data Scientist

Cupertino, CA · On-site

MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain; (will consider MS with significant related experience)3+ years experience with data analysis at ...

Samprasoft

Data Analyst

Sunnyvale, CA · On-site

PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. * Knowledge of machine ...

Apex Systems

Data Scientist

Pleasanton, CA · Remote

Master's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field. Technical Skills: * Strong Python and SQL skills. * Deep understanding of ...

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

AspectPermanent Computer Science StatisticsPermanent Data Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; often certifications in data analysis or programmingBachelor's in Statistics, Data Science, or related fields; certifications in data tools are common
Work EnvironmentTech companies, research institutions, or finance; focus on algorithms and statistical modelsBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, academia for developing models and algorithmsUsed across industries for analyzing data to inform business decisions

Permanent Computer Science Statistics professionals focus on developing algorithms and statistical models, often in tech or research settings, while Permanent Data Analysts interpret data to support business strategies across various industries. Both roles require strong analytical skills and relevant certifications, but their daily tasks and work environments differ.

What are the most commonly searched types of Computer Science Statistics jobs in California? The most popular types of Computer Science Statistics jobs in California are:
What cities in California are hiring for Permanent Computer Science Statistics jobs? Cities in California with the most Permanent Computer Science Statistics job openings:
Permanent Computer Science Statistics jobs near you
Principal Data Scientist

Principal Data Scientist

KORE1 Technologies

Duarte, CA • Remote

Contractor

Posted 16 days ago

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote. 

Professional Summary:
The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives. You'll work hands-on with structured and unstructured healthcare data, design and implement state-of-the-art models (including LLMs and RAG-based architectures), and lead cross-functional collaborations to bring solutions to production at scale. This role combines deep technical expertise with strategic influence and mentorship.

Key Responsibilities  
Research & Innovation
*    Initiate and lead novel research in machine learning and AI, especially in deep learning, large language models (LLMs), and retrieval-augmented generation (RAG).
*    Stay current with advancements in AI/ML and assess their relevance to healthcare challenges.
*    Investigate and adapt cutting-edge research (white papers, preprints, publications) into practical applications.
Model Development & Deployment
*    Design, build, train, evaluate, and deploy ML models, including supervised, unsupervised, reinforcement learning, and deep learning techniques.
*    Fine-tune pre-trained models (including transformer architectures) for domain-specific use cases.
*    Develop and operationalize agentic workflows to enable AI-driven automation of business tasks.
Production & Monitoring
*    Deploy models in cloud environments (Azure, AWS, Databricks) with robust MLOps and CI/CD practices.
*    Build and maintain monitoring systems for real-time model performance, drift detection, and alerting.
*    Ensure compliance with model governance, privacy, and healthcare regulatory standards.
Cross-functional Leadership
*    Partner with engineering, data engineering, product, and business stakeholders in an agile environment to ensure timely, impactful deliveries.
*    Mentor junior data scientists and promote best practices in experimentation, reproducibility, and responsible AI.
*    Translate complex analytics into actionable insights and communicate effectively with both technical and non-technical stakeholders.

Minimum Education:    
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • 4 years of experience plus min experience may substitute for minimum education requirements.
Minimum Experience:    
  • 10+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling
  • 3+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
  • Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn, PyTorch, TensorFlow, Transformers, etc.
  • Proven experience developing and fine-tuning deep learning models, including transformer-based architectures.
  • Experience working with structured (e.g., claims, EHR) and unstructured (e.g., clinical notes) healthcare data.
Skills/Abilities:    
  • Solid understanding of ML model evaluation metrics, data preprocessing, feature engineering, and data imputation.
  • Strong SQL skills and familiarity with both relational and NoSQL databases.
  • Comfortable working in Agile teams and navigating ambiguity in startup environments.
  • Builds and promotes a culture of personal and outcomes-based accountability.
  • Demonstrated ability to operate in an ambiguous, evolving, and fast-paced environment.
  • Must have innovative mindset in ensuring that the organization is adapting accordingly with the changing environment.
  • Strong track record in working independently and in a team setting, under pressure, and handling multiple deadlines.
  • Strong analytical capabilities coupled with the ability to identify issues, obtain mutual agreement as to the resolution and implement change.
  • Exceptional communication (written and verbal) and interpersonal skills are required.  
  • Well-developed organization, analytical, and innovative mindset to manage multiple projects and priorities.  
  • Proven experience and aptitude to participate as part of high functioning team within a virtual work environment.
  • Ability to craft business solutions to complex business problems.
  • Ability to manage all processes throughout the life cycle of a project..  
  • Demonstrated experience in collaborating across the organization regardless of level, function, or geography.  
  • Proven ability to establish strong relationships with internal and external stakeholders.
  • Software/Apps:    Microsoft (MS) Office365, MS Office (Excel, Word, PPT), MS TEAMs, PeopleSoft, Slack, Zoom, Salesforce.com, Amazon Connect

Preferred Education:    
  • Master's degree in Computer Science, Data Science, Statistics, or a related field.
Preferred Experience:    
  • 12+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling.
    *    4+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
    *    Experience with retrieval-augmented generation (RAG) and agentic workflows.
    *    Familiarity with Databricks platform and tools including: Databricks One environment, Genie, Agent Bricks.
    *    Experience in deploying or monitoring models in Databricks MLflow or similar platforms.
    *    Strong domain knowledge in healthcare (payer or provider) including medical coding, care gaps, or quality measures (e.g., HEDIS, Star ratings).
    *    Experience with NLP and hybrid symbolic-statistical approaches.
    *    Track record of publishing research or contributing to open-source projects.



Pay range is typically anywhere from 48 - 62/hr DOE. 

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR

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