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Entry Level Data Science Jobs in Santa Cruz, CA (NOW HIRING)

SynergisticIT

ENTRY LEVEL DATA SCIENTIST

San Jose, CA · On-site

$70K - $125K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

SynergisticIT

Entry-Level Data Scientist

San Jose, CA · On-site

$70K - $125K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

SynergisticIT

Entry level data scientist

San Jose, CA · On-site

$20 - $26/hr

... entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

SynergisticIT

Data Scientist

San Jose, CA · On-site

$70K - $125K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing ...

SynergisticIT

Entry Level Data Scientist

San Jose, CA · On-site

... for entry-level software programmers, Java Full stack developers, Python/Java developers, data ... Who Should Apply Recent computer science/engineering/mathematics/statistics or science graduates ...

SynergisticIT

Data Engineer (Entry Level)

San Jose, CA · On-site

$134.20K - $161.10K/yr

... entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

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How much do entry level data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for entry level data science in Santa Cruz, CA is $22.00, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $24.71 per hour, depending on experience, location, and employer.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Santa Cruz, CA? The most popular types of Data Science jobs in Santa Cruz, CA are:
What are popular job titles related to Entry Level Data Science jobs in Santa Cruz, CA? For Entry Level Data Science jobs in Santa Cruz, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Santa Cruz, CA look for? The top searched job categories for Entry Level Data Science jobs in Santa Cruz, CA are:
What cities near Santa Cruz, CA are hiring for Entry Level Data Science jobs? Cities near Santa Cruz, CA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Santa Cruz, CA as of May 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $45,759 per year, or $22 per hour.
ENTRY LEVEL DATA SCIENTIST

ENTRY LEVEL DATA SCIENTIST

SynergisticIT

San Jose, CA • On-site

$70K - $125K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist

Salary- $70k-$125k Per Year Job Type- Full-Time Location- San Jose, CA

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge. Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.

Minimum Background and Qualifications Requirement: Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT Must have Mathematics or Statistics background Technical and Soft Skills Required Experience in Python programming and understanding of the software development life cycle. Knowledge of Linear Algebra, Statistics, and Mathematics concepts. Excellent written and verbal communication skills. Highly motivated, self-learner, team player, and technically inquisitive. Strong work ethics and creative problem-solving abilities.

Preferred skills: Deep Learning Data visualization NLP Scala Django

Roles and Responsibilities: Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems. Assess project requirements and develop data analysis algorithms. Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables. Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets. Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.

Benefits: Competitive salary Flexible work schedule & part-time off E-verified No relocation H1B filing On job technical support Skill Enhancement Opportunity to work with Fortune 500 Companies

Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you. No third-party candidates or c2c candidates If you are interested, please apply to the posting. No phone calls please, Shortlisted candidates would be reached out.

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