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

Accenture

Data Protection, A/SA-Evergreen

San Jose, CA · On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Muon Space

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... data pipelines, computer vision, signal processing, cloud systems and more. They make it possible ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

Muon Space

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... data pipelines, computer vision, signal processing, cloud systems and more. They make it possible ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

Intertek

Entry Level Environmental Technician

Oakland, CA · On-site

$22 - $25/hr

Coordinate Project Data / Records / Reports related to the work assignments * Participate in all QA ... AS or BS Degree in Environmental Science, Engineering, Geology, Biology, Chemistry, or some ...

Intertek

Entry Level Environmental Technician

Oakland, CA · On-site

$22 - $25/hr

Coordinate Project Data / Records / Reports related to the work assignments * Participate in all QA ... AS or BS Degree in Environmental Science, Engineering, Geology, Biology, Chemistry, or some ...

VOLT

Entry Level Shippers

Fremont, CA · On-site

$21 - $23/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf #WRM

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

As of Sep 3, 2026, the average hourly pay for entry level data science in Hayward, CA is $21.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $24.52 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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Hayward, CA?

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

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

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

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

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

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

Cities near Hayward, 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 Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $45,435 per year, or $21.8 per hour.

Forward Deployed Engineer - Entry Level

ORDR, Inc.

Santa Clara, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Ordr Inc., we secure the connected world by bringing visibility, intelligence, and control to every device - from life-saving hospital equipment to robotic arms on factory floors, ATMs in banks, and IoT systems in airports. Our AI-driven platform turns complex network data into real-time security insights for some of the world's largest and most mission-critical organizations.


We're seeking a Forward Deployed Engineer who brings a unique combination of technical coding expertise and customer understanding. You'll work directly with enterprises worldwide to deploy Ordr's AI solutions, ensuring successful adoption and delivering measurable impact.


What You'll Do

  • Collaborate with customers to understand their specific environments, data, and operational needs, translating them into effective AI deployment strategies.
  • Deploy, configure, and optimize Ordr's AI-powered platform to meet each customer's unique use cases - from hospitals and factories to banks and airports.
  • Combine your programming skills and AI/ML knowledge to tailor, automate, and enhance system integrations.
  • Work with Ordr's AI research and engineering teams to fine-tune models, validate results, and ensure production readiness.
  • Build and manage end-to-end ML pipelines for data ingestion, model deployment, and performance monitoring.
  • Present technical findings, results, and demos to both internal stakeholders and customer teams.
  • Gather feedback from real deployments to inform future product and AI model improvements.


Qualifications


Education:

  • BS or MS in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field


Technical Skills:

  • Strong foundation in machine learning, data analysis, and applied AI.
  • Proficiency in Python and familiarity with key AI/ML libraries (PyTorch, TensorFlow, Scikit-learn).
  • Experience with AI development and deployment tools, including:
    • MLflow, Vertex AI, or AWS SageMaker for experiment tracking and deployment
    • Hugging Face or LangChain for LLMs and generative AI
    • Docker, Kubernetes, REST APIs, and CI/CD workflows
  • Understanding of networking, cybersecurity, or IoT data is a plus.
  • Comfort with scripting, debugging, and building automations in customer environments.


Soft Skills & Mindset

  • Unique blend of coding ability and customer empathy - able to translate complex technical concepts into real-world value.
  • Clear, confident communicator who enjoys collaborating with both engineers and customer stakeholders.
  • Highly motivated, adaptable, and eager to learn from fast-paced, real-world challenges.
  • Strong analytical mindset and hands-on problem-solving approach.
  • Passion for applying AI to make a tangible difference in large-scale, real-world systems.


Why Join Ordr

  • Work directly with global customers - from world-class hospitals to industrial and financial leaders - deploying AI solutions that protect their most critical assets.
  • Be part of a cross-functional AI team bridging research, engineering, and customer success.
  • See your work move from prototype to production and real-world impact.
  • Learn from top-tier AI and cybersecurity professionals.
  • Competitive salary, stock options, and comprehensive benefits.
Employment Type: FULL_TIME

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