ZipRecruiter

Log In

2

Entry Level Data Modeling Jobs in California (NOW HIRING)

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Good understanding of the below models: * Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of ...

General Atomics

Data Scientist I

San Diego, CA · On-site

$68K - $116K/yr

We currently have an exciting opportunity for an entry level Data Scientist within our IFT Division ... including backend data models, user interface layouts, scripts, and system integrations

New

ZL Technologies

Entry-Level Accountant

Milpitas, CA · On-site

Maintain accounting records and ensure data accuracy in the ERP/accounting system. * Collaborate ... Familiarity with SaaS business models, subscription billing, or revenue recognition concepts.

GTS FZCO

Computer Systems Analyst

Dublin, CA

... 2-3 entry-level and mid-level systems analysts, apply independent, advanced technical and ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Develop rich user and item representations through embeddings, sequence models, and graph-based ... entry level Master's or PhD students in Computer Science, Operations Research, Statistics ...

GTS FZCO

Computer Systems Analyst

Dublin, CA · On-site

... 2-3 entry-level and mid-level systems analysts, apply independent, advanced technical and ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

next page

Showing results 1-20

All JobsData Modeling JobsEntry Level Data Modeling JobsEntry Level Data Modeling Jobs in California

Entry Level Data Modeling information

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

AspectEntry Level Data ModelingData Analyst
Required CredentialsBachelor's in CS, IS, or related; basic understanding of databasesBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentDesigning data structures, collaborating with DBAs and developersAnalyzing data sets, creating reports, working with business teams
Industry UsageUsed in database design, data warehousing, and system developmentApplied in business intelligence, reporting, and data-driven decision making

Entry Level Data Modeling focuses on designing and structuring data systems, while Data Analysts interpret data to provide insights. Both roles require foundational data knowledge but differ in their primary tasks and focus areas within the data ecosystem.

What are the key skills and qualifications needed to thrive as an entry level data modeler, and why are they important?

To thrive as an Entry Level Data Modeler, you need a solid understanding of database concepts, data structures, and basic SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ER/Studio, Microsoft Visio, or IBM InfoSphere Data Architect, and knowledge of relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication help you clarify requirements and present technical information to stakeholders. These skills and qualities ensure that data models are accurate, scalable, and aligned with business needs, supporting successful data-driven projects.

What is entry level data modeling?

Entry level data modeling involves creating and organizing data structures, such as diagrams and databases, to represent and manage information within an organization. Professionals in this role typically use tools to define how data is stored, accessed, and related, ensuring it supports business needs. Entry-level data modelers work closely with senior analysts and IT teams to learn best practices and standards. This position is ideal for those with foundational knowledge in databases, analytical thinking, and an interest in data-driven decision making.

How does an entry level data modeler typically collaborate with other teams during a project?

As an entry-level data modeler, you will often work closely with business analysts, software engineers, and database administrators to translate business requirements into effective data structures. Collaboration often involves participating in meetings to gather requirements, reviewing data needs, and ensuring your models align with both business goals and technical constraints. You may also assist in refining models based on feedback and help maintain clear documentation for future reference. This teamwork not only improves your technical skills but also helps you understand the broader context of data-driven decision-making within the organization.
Entry Level Data Modeling jobs near you
Infographic showing various Entry Level Data Modeling job openings in California as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Entry Level Data Scientiest

SynergisticIT

Los Angeles, CA • On-site

$18 - $24/hr

Other

Re-posted 20 days ago

Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

  • On Job Technical support
  • E- verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

Apply