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Entry Level Data Scientist Jobs in San Ramon, CA

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates. You'll be responsible ...

Intellectt INC

Entry Level Lab Technician

Alameda, CA · On-site

... data entry of investigation results is a primary part of the job. • Ability to focus while ... Science is a great fit for this job. • Recent college graduates with a Bachelor's degree in ...

Verdantas

Staff Scientist I

San Ramon, CA · On-site

$50K - $60K/yr

We partner with clients to deliver smart, data-driven solutions to complex environmental and ... This is an entry-level stormwater professional role and is a great fit for someone who is eager to ...

Verdantas

Staff Scientist I

San Ramon, CA · On-site +1

$50K - $60K/yr

We partner with clients to deliver smart, data-driven solutions to complex environmental and ... This is an entry-level stormwater professional role and is a great fit for someone who is eager to ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in San Ramon, CA

Entry Level Data Scientist information

See San Ramon, CA salary details

$51.4K

$184.4K

$272.1K

How much do entry level data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level data scientist in San Ramon, CA is $184,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in San Ramon, CA? The most popular types of Data Scientist jobs in San Ramon, CA are:
What are popular job titles related to Entry Level Data Scientist jobs in San Ramon, CA? For Entry Level Data Scientist jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in San Ramon, CA look for? The top searched job categories for Entry Level Data Scientist jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Entry Level Data Scientist jobs? Cities near San Ramon, CA with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in San Ramon, CA as of July 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $184,411 per year, or $88.7 per hour.
AI Engineer / Data Scientist, AI Experienced Associate

AI Engineer / Data Scientist, AI Experienced Associate

Pwc

San Francisco, CA

$63K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 hours ago

Posted today

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making processes
- Collaborating with cross-functional teams to integrate AI solutions into existing platforms
- Conducting data wrangling and preprocessing to prepare datasets for analysis
- Applying advanced algorithms to enhance the performance of AI models
- Building and deploying software systems that leverage AI and machine learning technologies
- Analyzing complex data sets to identify patterns and trends that inform business strategies
- Supporting client engagements by delivering quality work and adapting to diverse project requirements
- Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
- Upholding professional and technical standards while contributing to team success
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning techniques
- Excelling in client support within fast-paced environments
- Adapting quickly to diverse client needs and project scopes
- Building a personal brand through consistent quality work
- Utilizing analytical skills to discern patterns and insights

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $63,000 - $141,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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