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

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 ...

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 ...

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 ...

Entry-level Mechanical Engineer At Salas O'Brien we tell our clients that we're engineered for ... Our specialized experience includes design for data centers, healthcare, science and technology ...

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Entry Level Data Science information

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

As of Aug 14, 2026, the average hourly pay for entry level data science in Sunnyvale, CA is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $25.10 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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 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 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 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 Sunnyvale, CA?

The most popular types of Data Science jobs in Sunnyvale, CA are:

What are popular job titles related to Entry Level Data Science jobs in Sunnyvale, CA?

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

What job categories do people searching Entry Level Data Science jobs in Sunnyvale, CA look for?

The top searched job categories for Entry Level Data Science jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Entry Level Data Science jobs?

Cities near Sunnyvale, CA with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

Data Scientist - AI & Predictive Analytics

Western Digital

San Jose, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today.

We're looking for people who want to build, solve, and operate at that level.

Join us and let's shape the future of data.

Job Description

As an Engineering Data Scientist, you'll work alongside software engineers, hardware engineers, and data scientists to develop predictive diagnostic technologies for enterprise hard disk drives deployed in hyperscale cloud environments.

You'll help transform more than 10 TB of manufacturing and telemetry data generated each day into intelligent systems that improve storage reliability and customer uptime.

Your work may include:

  • Building machine learning models that identify early indicators of drive degradation.
  • Developing automated diagnostic algorithms using Python.
  • Analyzing large-scale telemetry from enterprise storage systems.
  • Creating data visualization and engineering analysis tools.
  • Supporting root cause investigations using statistical analysis.
  • Improving existing diagnostic software through automation and code refactoring.
  • Collaborating with engineering teams across hardware, firmware, and software disciplines.
  • Deploying predictive analytics solutions into production environments.

Why This Role Is Different

Most entry-level data science positions focus on dashboards, reporting, or business analytics.

This role is different.

You'll use machine learning and engineering principles to solve complex technical problems that improve the reliability of storage systems supporting some of the world's largest cloud environments.

You'll write production software.

You'll automate engineering decisions.

You'll build predictive technologies that help customers avoid downtime before failures occur.

This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career.  Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0-2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply.

Qualifications

Currently pursuing or recently completed a Ph.D.  Computer Science, Data Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related engineering discipline

Required Technical Skills

  • Python (required)
  • Machine learning
  • Data analytics
  • Statistical analysis
  • SQL or NoSQL databases
  • Analytical problem solving
  • Software development fundamentals
  • Engineering mindset

Preferred:

  • Hadoop
  • Hive
  • Ruby
  • Front-end development
  • Web applications
  • Data visualization
  • Interest in storage systems and HDD technology
Additional Information

WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal" poster. Our pay transparency policy is available here.

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 11/6/26, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.

#LI-MT

Compensation & Benefits Details

  • An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
  • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting.  We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York.  This range may be modified in the future.
  • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws.  You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
  • You will be eligible to be considered for bonuses under either WD's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards.

  • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan.
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].