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Entry Level Data Scientist Remote Jobs in California

Mercor

Data Science Expert - AI/ML

San Francisco, CA · Remote

$60 - $90/hr

Remote Commitment: 35 hours/week Role Responsibilities * Design complex analysis tasks simulating real research work, including data cleaning, statistical analysis, and interpretation. * Author clear ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Knowledge of data science and machine learning concepts * A strong interest in sports and sports ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Create high-quality data by developing difficult problems in your domain. * Evaluate and improve AI ...

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Entry Level Data Scientist Remote information

What is an entry level data scientist remote?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.

What are the key skills and qualifications needed to thrive as an entry level data scientist remote?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What are some common challenges entry level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Can I get an entry level data scientist remote job with no experience?

Entry level remote data scientist positions typically require some foundational knowledge in programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong analytical skills can sometimes qualify for entry-level roles without professional experience.

What are the most commonly searched types of Data Scientist Remote jobs in California?

The most popular types of Data Scientist Remote jobs in California are:

What are popular job titles related to Entry Level Data Scientist Remote jobs in California?

For Entry Level Data Scientist Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Remote jobs in California look for?

The top searched job categories for Entry Level Data Scientist Remote jobs in California are:

What cities in California are hiring for Entry Level Data Scientist Remote jobs?

Cities in California with the most Entry Level Data Scientist Remote job openings:

Entry Level Data Scientist Remote jobs near you
Infographic showing various Entry Level Data Scientist Remote job openings in California as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution.

Data Entry Assistant - Entry Level / Remote

Only Data Entry

Laguna Beach, CA • Remote

$18.75 - $24.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Entry Assistant - Entry Level / Remote About the job Data Entry Assistant - Entry Level / Remote CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

Accurately input, update, and maintain large volumes of data into our database systems. Verify and cross-reference data to ensure its accuracy and completeness. Conduct data quality checks and resolve discrepancies in a timely manner. Collaborate with other teams to gather and clarify data requirements. Maintain data confidentiality and adhere to data security protocols. Contribute to process improvement initiatives to enhance data entry efficiency.

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