3

Data Science Entry Level Remote Jobs in California

Data Scientist

Ridgecrest, CA · Remote

$120K - $167K/yr

This is a remote position. Job Summary: We are seeking a highly motivated Data Scientist to support mission-critical programs at China Lake. This role will focus on developing and deploying advanced ...

$120K - $167K/yr

This is a remote position. Job Summary: We are seeking a highly motivated Data Scientist to support mission-critical programs at China Lake. This role will focus on developing and deploying advanced ...

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ... Bay Area preferred (HQ in Santa Clara), but open to the right remote candidate. Salary Range: The ...

... 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 ...

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

$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 ...

$134K - $161K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote

Location: Fully remote anywhere in the Unted States. Employment Type: 6-month contract with ... Partner with Data Scientists to ensure features align with modeling objectives. * Perform deep ...

next page

Showing results 1-20

Data Science Entry Level Remote information

What are some typical 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, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What cities in California are hiring for Data Science Entry Level Remote jobs? Cities in California with the most Data Science Entry Level Remote job openings:
Infographic showing various Data Science Entry Level Remote job openings in California as of May 2026, with employment types broken down into 67% Full Time, 24% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.
Summer Intern, Bioinformatics and Data Science

Summer Intern, Bioinformatics and Data Science

Assembly Biosciences, Inc.

South San Francisco, CA • On-site, Remote

$25 - $27/hr

Other

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


Job description

POSITION SUMMARY


Position Title: Summer Intern, Bioinformatics and Data Science

Reports to: Associate Director, Bioinformatics

Status: Full-time, Non-Exempt, Summer Intern

Duration: 10 - 12 Weeks (Summer 2026)

Location: South San Francisco, CA (Hybrid or Remote)



Summary: A summer internship opportunity is available for an undergraduate student interested in applying computational and artificial intelligence/machine learning (AI/ML) methods to biological and chemical data in a drug discovery setting. The intern will work closely with a cross-functional team spanning bioinformatics, machine learning, chemistry, and biology. This intern will be paired with a dedicated mentor to guide the student through this process and be a full member of the team throughout the internship. The intern will also have plenty of opportunities for networking and career development through conversations with people across multiple roles and teams at Assembly Bio.


This role emphasizes hands-on experience with real datasets and exposure to modern computational pipelines used in early-stage therapeutic development.


Specific responsibilities include, but are not limited to:

  • Analyzing biological and chemical datasets (e.g., RNA-seq, single-cell, proteomics or screening data) using Python or R
  • Supporting development, testing and optimization of bioinformatics, cheminformatics and AI/ML pipelines
  • Documenting workflows and results in a reproducible manner
  • Presenting findings in internal meetings and contributing to reports


Qualifications Include:

  • Pursuing a degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or related field
  • Strong programming skills in Python and/or R
  • Some familiarity with common bioinformatics tools and libraries (e.g., Bioconductor, Scanpy,Seurat,PyTorch, TensorFlow)
  • Understanding of molecular biology concepts (e.g., gene expression, sequencing technologies)
  • Experience with statistical analysis and data visualization
  • Ability to work independently and in a collaborative environment

Preferred (Not Required)

  • Experience with single-cell data analysis, NGS pipelines, or cloud computing
  • Exposure to machine learning or deep learningmethods in biological contexts
  • Familiarity with version control (e.g., Git)

What You Will Gain

  • Hands-on experience with real-world drug discovery datasets
  • Exposure to interdisciplinary workflows bridging computation and biology
  • Opportunity to contribute to impactful research in a fast-paced biotech environment

How to Apply

Please submit:

  • Resume/CV
  • Brief statement of interest (1-2 paragraphs)
  • Optional: GitHub or project portfolio

Pay Range:
$25 - $27/hr


The stated pay range for this position reflects the San Francisco Bay Area job market. Assembly Bio establishes pay ranges based on geographic work locations. Additional factors such as academic credentials and relevant experience will influence the actual salary offered.

About Assembly Bio

Assembly Bio (NASDAQ: ASMB) is an ambitious biopharmaceutical company with cutting-edge therapeutic clinical candidates capable of improving the lives of millions living with chronic hepatitis B virus (HBV) infection around the world, and research and preclinical programs focused on the discovery of novel antivirals to treat devastating viral diseases, including HBV, hepatitis delta virus (HDV) and herpesviruses.

We pride ourselves on creating a culture and work environment that is scientifically driven, ambitious, and collaborative. We encourage diversity of thought that leads to great innovation and are looking to add great people to our dynamic team who are driven to transform the lives of patients. We set our sights high-and pursue our goals with determination. Our unique organization stands ready to welcome talented, motivated individuals, who share our ambitions.

As an equal opportunity employer, we are committed to diversity and inclusion and will not tolerate discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

Information for Recruitment Agencies

Assembly Bio does not accept from recruiters/agencies any unsolicited resumes, or any candidate information including blinded resumes and will not be responsible for any fees related to resumes or candidate information that is unsolicited. Please do not contact hiring managers or Assembly Bio employees directly with any information related to a resume or a candidate. We handle all recruitment through our internal Human Resources team, and we will reach out to you directly should we wish to engage in a search. Your willingness to comply with this will significantly impact any decision we may make about doing business with you.