1

Trainee Full Stack Data Scientist Jobs in California

... as a full-stack data scientist who develops, optimizes, and scales models for the production environment • You connect the how and why using your knowledge of data science theories and ...

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our ...

Description The Wallets, Payments, and Commerce (WPC) team at Apple is looking for a full-stack Data Scientist who is passionate about crafting and implementing data solutions that have a direct and ...

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

Apply full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation * Design and develop advanced ML or Agentic AI solutions, including ...

Full Stack Engineer

San Diego, CA · On-site

$110 - $170/hr

Position: Full Stack Software Engineer Location: San Diego, CA Clearance Level: Secret We are ... Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline.

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Full Stack software engineer Location: San Diego, CA We are looking for a Full Stack software ... Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline.

Full Stack software engineer Location: San Diego, CA We are looking for a Full Stack software ... Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline.

Position: Full Stack software engineer Location: San Diego, CA Clearance Level: Secret We are ... Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline.

Position: Full Stack software engineer Location: San Diego, CA Clearance Level: Secret We are ... Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline.

Description The Wallets, Payments, and Commerce (WPC) team at Apple is looking for a full-stack Data Scientist who is passionate about crafting and implementing data solutions that have a direct and ...

Full Stack Engineer Location: San Diego, CA Job Type: Full-Time Salary Range: Based on Experience ... Collaborate with software engineers, data scientists, and project teams to architect scalable ...

Full Stack Developer

San Jose, CA · On-site

$80 - $90/hr

Full Stack Developer (San Jose, CA) Job Overview: We are seeking a Full Stack Software Developer ... Collaborate with data scientists to understand and deploy ML models. 3. Cross-functional ...

next page

Showing results 1-20

Trainee Full Stack Data Scientist information

What is the difference between Trainee Full Stack Data Scientist vs Data Analyst?

AspectTrainee Full Stack Data ScientistData Analyst
Required SkillsBasic programming, data analysis, machine learning fundamentalsData visualization, statistical analysis, Excel proficiency
CertificationsEntry-level data science courses, certifications in Python or RExcel, SQL, Tableau certifications
Work EnvironmentCollaborative teams, project-based, tech-focusedBusiness units, reporting, data interpretation
Industry UsageTech, finance, healthcare, startupsRetail, marketing, finance, healthcare

The Trainee Full Stack Data Scientist is an entry-level role focusing on developing skills in programming, machine learning, and data modeling, often in tech-driven environments. In contrast, Data Analysts primarily focus on data visualization, reporting, and statistical analysis to support business decisions. While both roles require analytical skills, the Data Scientist role involves more technical and coding expertise, whereas Data Analysts focus on interpreting data for insights.

What are the most commonly searched types of Full Stack Data Scientist jobs in California?

The most popular types of Full Stack Data Scientist jobs in California are:

What are popular job titles related to Trainee Full Stack Data Scientist jobs in California?

For Trainee Full Stack Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Trainee Full Stack Data Scientist jobs in California look for?

The top searched job categories for Trainee Full Stack Data Scientist jobs in California are:

What cities in California are hiring for Trainee Full Stack Data Scientist jobs?

Cities in California with the most Trainee Full Stack Data Scientist job openings:

Data Scientist I - Full Stack Management Trainee

Socket.dev

San Diego, CA • On-site

$85 - $120/hr

Other

Posted 4 days ago


Job description

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $10M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.

At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning. Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows. As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists.

By stepping directly into the center of these efforts, you won't just observe modern machine learning—you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization.

The Data Scientist I - Full Stack Management Trainee role focuses on machine learning development, model deployment, and MLOps. Working alongside senior engineering and data science leads, you will take ownership of model construction, experimental design, pipeline development, and code productionalization on cloud infrastructure, making an immediate impact on our production systems.

You will:
  • Assist in constructing, testing, and deploying machine learning models.
  • Design and evaluate experimental designs and A/B testing methodologies.
  • Productionalize data science code utilizing GitHub, version control, and modern MLOps pipelines.
  • Work with data vendors in pushing data boundaries.
Qualifications & Requirements
  • Education: Master's degree or higher in Mathematics, Statistics, or a Quantitative field.
  • Statistical Expertise: Hands-on experience with A/B testing methodologies and experimental design.
  • ML & Engineering: Proven experience building ML models and exposure to MLOps principles.
  • Production Skills: Ability to productionalize code using GitHub and manage code versioning.

Mulligan Funding is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.

#J-18808-Ljbffr