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Remote Reddit Data Science Jobs in California (NOW HIRING)

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

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 ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

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 ...

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 ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

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 ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Apex Systems

Data Scientist

Pleasanton, CA · Remote

Fully remote anywhere in the United States. Employment Type: 6 month contract with possibility to extend or convert. Role Overview A position is available for a Data Scientist to develop predictive ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Twilio

Staff Data Scientist

San Francisco, CA · On-site +1

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... You will be part of a highly visible Data Science & Analytics team that serves as the trusted ...

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All JobsRemote Reddit Data Science JobsRemote Reddit Data Science Jobs in California

Remote Reddit Data Science information

What is the difference between Remote Reddit Data Science vs Remote Reddit Data Analyst?

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data points, or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Remote Reddit Data Scientist, and why are they important?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How to make 2000 a week working from home?

A remote Reddit Data Science professional can earn $2,000 weekly by taking on multiple freelance projects, consulting, or full-time remote roles that pay competitive salaries. Building specialized skills in data analysis, machine learning, and tools like Python or R can increase earning potential, especially with experience and a strong portfolio.

How do remote Reddit Data Science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

How to make $100,000 a year working from home?

A remote Reddit Data Science professional can reach a $100,000 annual income by gaining advanced skills in data analysis, machine learning, and programming languages like Python or R, along with experience in data visualization tools. Building a strong portfolio, obtaining relevant certifications, and applying to high-paying roles or freelance projects can help achieve this goal while working from home.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including in remote roles. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed at any age through online courses and self-study. Many professionals transition into data science later in their careers and find opportunities in the field.

What does a Remote Reddit Data Science job involve?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.
What are the most commonly searched types of Reddit Data Science jobs in California? The most popular types of Reddit Data Science jobs in California are:
What are popular job titles related to Remote Reddit Data Science jobs in California? For Remote Reddit Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Reddit Data Science jobs in California look for? The top searched job categories for Remote Reddit Data Science jobs in California are:
What cities in California are hiring for Remote Reddit Data Science jobs? Cities in California with the most Remote Reddit Data Science job openings:
Remote Reddit Data Science jobs near you
Infographic showing various Remote Reddit Data Science job openings in California as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution.
Principal Data Scientist

Principal Data Scientist

KORE1 Technologies

Duarte, CA • Remote

$48 - $62/hr

Full-time

Posted 25 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.