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No Experience Data Science Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Experience developing analytics with machine learning, deep learning, NLP, and/or other related ... Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... data science best practices, model documentation, and the creation of reusable modeling frameworks. • Translate complex model results into clear business insights for technical and non-technical ...

San Manuel Casino

Data Engineer

Highland, CA · On-site

$113K - $136K/yr

There are no hybrid or remote positions available. ESSENTIAL DUTIES AND RESPONSIBILITIES 1. ... EDUCATION, EXPERIENCE AND QUALIFICATIONS * Bachelor's degree in data science, Data Analytics ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • Proficiency in Python, SQL, or similar data analysis tools • Experience ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • Proficiency in Python, SQL, or similar data analysis tools • Experience ...

Cisco

Applied AI Scientist

Irvine, CA · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... Experience translating research ideas into production systems. Preferred Qualifications: * Deep ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

... Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python, SQL, or similar data analysis tools * Experience with ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

... Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python, SQL, or similar data analysis tools * Experience with ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

... Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python, SQL, or similar data analysis tools * Experience with ...

Esri

Product Engineer II - Data Management

Redlands, CA · On-site

Experience using an application development language, such as C++, C#, Java, JS, and/or Python ... Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics ...

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All JobsData Science JobsNo Experience Data Science JobsNo Experience Data Science Jobs in Riverside, CA

No Experience Data Science information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do no experience data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for no experience data science in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What is a no experience data science job?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to No Experience Data Science jobs in Riverside, CA? For No Experience Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching No Experience Data Science jobs in Riverside, CA look for? The top searched job categories for No Experience Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for No Experience Data Science jobs? Cities near Riverside, CA with the most No Experience Data Science job openings:
No Experience Data Science jobs near you
Infographic showing various No Experience Data Science job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Re-posted 11 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).