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Data Science Entry Level 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 ...

Mercor

Data Scientist - AI Evaluation

San Francisco, CA · Remote

$100 - $150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

Mercor

Data Scientist - AI Evaluation

San Francisco, CA · Remote

$100 - $150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Science), preferably with work experience of over 2-3 years (open to talk to freshers as well)

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Picarro, Inc

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time The Opportunity Picarro's instruments and analytics power industrial emissions detection, from ...

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 ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

... 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 ...

Sparks Wiz Limited

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 ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$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 ...

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 ...

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Data Science Entry Level Remote information

What is a data science entry level remote job?

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 skills and qualifications are needed to thrive as an entry-level remote data scientist?

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 challenges do 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 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 popular job titles related to Data Science Entry Level Remote jobs in California?

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

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

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

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:

Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Data Science

San Francisco, CA • Remote

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

Full-time

Re-posted 11 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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