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No Experience Entry Level Data Science Jobs in California

DEUNA

Data Science intern

San Francisco, CA · On-site

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

DEUNA

Data Science intern

San Francisco, CA · On-site

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... like experience, enabling businesses of any size to advertise on TV. That approach has earned ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

... like experience, enabling businesses of any size to advertise on TV. That approach has earned ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... like experience, enabling businesses of any size to advertise on TV. That approach has earned ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... like experience, enabling businesses of any size to advertise on TV. That approach has earned ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

Experience indata cloudplatform(eg.Databricks,AWS, Snowflake) * Understanding of machine learning ... If this role does not have Colorado listed as a hiring location, no specific application window ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Hands on experience Python scripting * Hands on experience in building Machine Learning and ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Adobe

Data Science Engineer

San Francisco, CA

$134K - $162K/yr

Experience indata cloudplatform(eg.Databricks,AWS, Snowflake) * Understanding of machine learning ... If this role does not have Colorado listed as a hiring location, no specific application window ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Experience with recommender systems (collaborative filtering, deep recommenders, ranking ...

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No Experience Entry Level Data Science information

What is a no experience entry level data science job?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.

What are the key skills and qualifications needed to thrive as a no experience entry level data scientist?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What are common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

What are popular job titles related to No Experience Entry Level Data Science jobs in California?

For No Experience Entry Level Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching No Experience Entry Level Data Science jobs in California look for?

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What cities in California are hiring for No Experience Entry Level Data Science jobs?

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No Experience Entry Level Data Science jobs near you
Infographic showing various No Experience Entry Level Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Research Data Scientist - Urology, Hung Lab

Cedars Sinai

West Hollywood, CA • On-site

$96K - $164K/yr

Full-time

Posted 15 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

42nd of 1,064 rated hospitals

Job description


Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!
The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
Tests and validates code to ensure robustness of data applications with version control through GitHub.
Performs all other duties as assigned.
Qualifications
Education:
Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required.
Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:
2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
No experience required Experience in biomedical machine learning is preferred

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