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Entry Level Data Scientist Remote Jobs in California

... remote collaboration * Familiarity with the transportation, energy or broader infrastructure sectors is a plus but not required Qualifications * Currently pursuing a Bachelor's degree in Data Science ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

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 ...

$55 - $75/hr

The ideal candidates will have at least two years of experience integrating data for a variety of projects related to analytics and/or data science. (OLAP / batch data integration). Experience with ...

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

Bachelor's degree in Computer Science or "STEM" majors (science, technology, engineering, or math) * 5 or more years of data architecture experience * Excellent communication both written and verbal

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

Bachelor's degree in Computer Science or "STEM" majors (science, technology, engineering, or math) * 5 or more years of data architecture experience * Excellent communication both written and verbal

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Provide clear, structured feedback to AI research teams to improve training data quality and ...

Remote Summary We are seeking a Bioanalytical Scientist to support scientific research and development activities within regulated bioanalysis. This role will contribute to study execution, data ...

Showing results 41-60

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:

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.

Intern, Data Analytics

EV Realty

San Francisco, CA • On-site, Remote

Internship

Re-posted 13 days ago


Job description

The Company

At EV Realty, we're building the infrastructure backbone that powers the electrification of next generation commercial fleets - one high-powered charging hub at a time.

We develop, own, and operate purpose-built EV charging hubs designed to solve the critical barrier to fleet electrification: access to reliable, low-cost, scalable grid power. Our Powered Properties are strategically located to serve fleet customers where they operate, providing dedicated, secure charging solutions where and when they need it most. We build with reliability and scale in mind, delivering the infrastructure that mission-critical commercial fleets require to keep moving.

We believe in transparency, ownership, and building things the right way - for our customers and for our team. If you're excited to help build the new era of commercial transportation, we'd love to meet you.

The Role

As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer acquisition, and directly enable EV Realty's ability to operate in a wide range of markets. This role will support the vision, strategy roadmap, development, and continued improvement of these tools. The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a summer internship.

The ideal candidate will be a self-starter, a natural problem solver who is highly adaptable, and an effective communicator; they will have a strong programmatic approach but also the flexibility and creativity to source, interpret, and utilize data in unconventional ways.

This role will be located in San Francisco, CA or Salt Lake City, UT.

Key Responsibilities

The Data Analytics Intern is a summer position which will contribute to various projects that support EV Realty's analytics tools and processes.

This includes: 

  • Assist with data pipelines, transformations, and data preparation for integration with EV Realty's backend infrastructure and tools
  • Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows
  • Query SQL databases and leverage GIS to support business analytics and reporting needs
  • Document analytical workflows, processes, data definitions, and research in a clear and effective manner
  • Assist with LLM and AI innovation initiatives to enhance end-user experiences
  • Help create niche data products as needed to support internal team objectives
  • Work with cross-functional leaders and experts to establish best practices and identify opportunities to improve the product development and delivery process
  • Effectively communicate key insights from analyses, methodologies, and data products to internal teams
Knowledge and Skills
  • Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL preferred
  • Aptitude for GIS-based techniques, data structures, and software such as CARTO, ArcGIS, or QGIS
  • Analytical experience with Excel
  • Cloud infrastructure knowledge with Snowflake, Databricks or similar platform
  • Strong analytical skills and innate problem-solving capabilities
  • Excellent communication and cross-functional collaboration abilities
  • Must be comfortable in an unstructured, fast-moving, and constantly evolving high-growth environment
  • Naturally accountable, responsible, and self-motivated. Independent workflow must be effectively harmonized with remote collaboration
  • Familiarity with the transportation, energy or broader infrastructure sectors is a plus but not required
Qualifications
  • Currently pursuing a Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields
  • Junior or Senior standing preferred
  • GPA of 3.0 or higher
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