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Entry Level Data Science H1B Jobs in California (NOW HIRING)

SynergisticIT

Junior Web Application Developer

Sunnyvale, CA · On-site

$78K - $101K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Tryfacta, Inc.

Student/Graduate Intern

San Jose, CA · On-site

$28.27 - $32.27/hr

... perform entry-level professional work supporting the development, integration, testing ... Data Science * Related technical field Preferred Academic Focus * Computer Science * Information ...

Wispr Flow

ML Scientist

San Francisco, CA · On-site

$250K - $400K/yr

About the Role As a ML scientist at Wispr, you'll play a crucial role in building the first capable ... H1B, O1, EB1, L1, STEM + OPT, and more. We can't successfully sponsor for every role and every ...

XYPRO

Internship

Simi Valley, CA · On-site

$20 - $30/hr

Our interns are viewed as a key source of future talent for entry-level careers within the company ... Data Science * Financial Analysis * Technical Writing Contact us if you are a student interested in ...

XYPRO

Internship

Simi Valley, CA · On-site

$20 - $30/hr

Our interns are viewed as a key source of future talent for entry-level careers within the company ... Data Science * Financial Analysis * Technical Writing Contact us if you are a student interested in ...

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Entry Level Data Science H1B information

Are entry-level data scientists in demand?

Entry-level data scientists are in high demand due to the growing reliance on data-driven decision making across industries. Skills in programming languages like Python or R, along with knowledge of machine learning and data analysis tools, increase employability in this field.

What is an entry level data science H1B?

An Entry Level Data Science H1B position refers to a data science job in the United States that is open to recent graduates or those with limited professional experience, and for which the employer is willing to sponsor an H1B visa. These roles typically involve tasks such as data cleaning, exploratory data analysis, building basic models, and reporting insights under supervision. The H1B visa allows skilled foreign workers to be employed in specialty occupations, including data science, for a specified period. Candidates usually need a relevant degree in fields like computer science, statistics, or mathematics, and some proficiency in programming and data analysis tools.

Can I get an entry level data science H1B job with no experience?

Entry level data science H1B jobs typically require some relevant skills such as programming in Python or R, knowledge of statistical analysis, and familiarity with data tools. While prior work experience is often preferred, candidates with strong educational backgrounds, internships, or certifications can be considered for such roles. Employers may also value demonstrated problem-solving abilities and a willingness to learn.

What are the key skills and qualifications needed to thrive as an entry level data scientist on an H1B visa?

To thrive as an Entry Level Data Scientist, you generally need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools like SQL, machine learning libraries (scikit-learn, TensorFlow), and data visualization platforms (Tableau, Power BI) is commonly required, and certifications such as Google Data Analytics or IBM Data Science can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable business decisions. These skills and qualifications are crucial for extracting meaningful insights from data and contributing effectively to organizational goals in a technical and collaborative environment.

What are typical challenges faced by entry level data scientists working on an H1B visa, and how can these be addressed?

Entry-level data scientists on H1B visas often encounter challenges such as needing to quickly adapt to new tools, balancing project deadlines, and navigating workplace communication in a new cultural environment. Additionally, they may face pressure to demonstrate value early, given visa-related job security concerns. Building strong relationships with team members, seeking mentorship, and proactively asking for feedback can help overcome these challenges. Participating in team meetings and collaborating on cross-functional projects will also support integration and professional growth.
What are the most commonly searched types of Data Science H1B jobs in California? The most popular types of Data Science H1B jobs in California are:
What are popular job titles related to Entry Level Data Science H1B jobs in California? For Entry Level Data Science H1B jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science H1B jobs in California look for? The top searched job categories for Entry Level Data Science H1B jobs in California are:
Entry Level Data Science H1B jobs near you
Infographic showing various Entry Level Data Science H1B job openings in California as of August 2026, with employment types broken down into 46% Full Time, 27% Part Time, and 27% Contract. Highlights an 100% In-person job distribution.

AI & GenAI Data Scientist-Senior Associate

Pwc

San Diego, CA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, 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.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- 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 libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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