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Contractual Full Stack Data Scientist Jobs in California

bareinsights

Senior Manager, Data Science

Los Angeles, CA · On-site

$210K - $230K/yr

Prior hands-on experience as an MLE or data scientist -- this is not a pure people-management role. * Full-stack data science profile: strong proficiency in Python, statistical modeling, and data ...

New

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

... 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 ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... 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 ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

... 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 ...

Snowflake

Senior Data Scientist - Product

Menlo Park, CA · On-site

$168K - $220K/yr

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 ...

Apple, Inc.

WPC Apple Card Data Scientist

Cupertino, CA · On-site

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 ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA · On-site

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 ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

iQuasar, LLC

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.

IQUASAR LLC

Full Stack Engineer

San Diego, CA · On-site

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.

iQuasar LLC

Full Stack Engineer

San Diego, CA · On-site

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.

Align Technology, Inc.

Sr. Data Scientist

San Jose, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA

$175K - $311K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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All JobsContractual Full Stack Data Scientist JobsContractual Full Stack Data Scientist Jobs in California

Contractual Full Stack Data Scientist information

What is a contractual full stack data scientist?

Contractual Full Stack Data Scientists are professionals hired on a contract basis to manage the end-to-end data science workflow for an organization. They are skilled in both frontend and backend development, as well as data engineering, data analysis, and machine learning. Their responsibilities often include collecting, processing, and analyzing data, developing predictive models, and deploying solutions into production environments. Unlike permanent employees, they typically work on specific projects or for a set period, offering flexibility to both the employer and the professional.

What are the key skills and qualifications needed to thrive as a contractual full stack data scientist?

To thrive as a Contractual Full Stack Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and software engineering, typically supported by a relevant degree and a portfolio of completed projects. Familiarity with programming languages such as Python or R, cloud platforms like AWS or Azure, and tools such as TensorFlow, SQL, and version control systems is essential. Excellent problem-solving, communication, and time management skills help you adapt quickly to varied client needs and collaborate effectively with cross-functional teams. These skills ensure the ability to deliver end-to-end data solutions that drive business value within project deadlines.

What are some common challenges faced by contractual full stack data scientists, and how can they be addressed?

Contractual full stack data scientists often face challenges such as adapting quickly to new teams and business domains, managing time constraints, and ensuring seamless handover of work at project completion. Since these roles typically involve both backend and frontend tasks, balancing diverse technical responsibilities while aligning with client expectations can be demanding. To address these challenges, it’s helpful to establish clear communication channels, document work thoroughly, and set realistic deliverables early in the contract. Proactively engaging with stakeholders and being flexible with new tools or workflows also support successful project outcomes.

What is the difference between Contractual Full Stack Data Scientist vs Contractual Data Engineer?

AspectContractual Full Stack Data ScientistContractual Data Engineer
CredentialsDegree in Data Science, Computer Science, or related field; certifications in data analysis or machine learningDegree in Computer Engineering, Software Engineering, or related; certifications in cloud platforms or data pipeline tools
Work EnvironmentCollaborates with data analysts, machine learning engineers, and business teams on modeling and insightsFocuses on building, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data analysis, predictive modeling, and business insightsPrimarily in tech, finance, and e-commerce for data infrastructure and ETL processes

The Contractual Full Stack Data Scientist combines data analysis, modeling, and software skills to deliver insights and solutions, while the Contractual Data Engineer specializes in building and maintaining data infrastructure. Both roles are essential in data-driven organizations but focus on different aspects of the data lifecycle.

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 Contractual Full Stack Data Scientist jobs in California?

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

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

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

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

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

Contractual Full Stack Data Scientist jobs near you
Infographic showing various Contractual Full Stack Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Manager, Data Science

bareinsights

Los Angeles, CA • On-site

$210K - $230K/yr

Full-time

Posted yesterday

New

Job description

About the Role

This is a senior leadership role on a team tackling one of the hardest and highest-impact problems in blockchain analytics: connecting on-chain activity to real-world entities with precision and scale. You'll blend hands-on technical work with people management and product strategy, sitting at the intersection of blockchain intelligence, data science, and applied machine learning.

What You'll Do

  • Lead and mentor a high-performing data science team, balancing individual execution with longer-term strategic vision.

  • Drive technical innovation across a modern data stack (Python, Airflow, BigQuery, Kafka, Snowflake), ensuring pipelines and models scale with quality.

  • Collaborate cross-functionally with engineering, product, and intelligence teams to turn raw blockchain data into actionable product insights.

  • Set the standard for accuracy and trustworthiness in blockchain attribution, helping establish market-leading data quality.

  • Recruit, develop, and retain top technical talent while growing the team's overall product and engineering maturity.

  • Maintain a hands-on technical presence (~20–80 split), actively contributing code and technical direction rather than managing exclusively.

What We're Looking For

  • 7+ years of data science experience, with at least 4 years directly managing data science or machine learning individual contributors.

  • Prior hands-on experience as an MLE or data scientist — this is not a pure people-management role.

  • Full-stack data science profile: strong proficiency in Python, statistical modeling, and data pipeline development (not analytics-only or BI-focused).

  • Experience with large-scale data systems and orchestration tools such as BigQuery, Snowflake, Airflow, or equivalents.

  • Demonstrated use of AI tools and LLMs to accelerate technical work and productivity.

  • Background at a startup or hypergrowth company (Series A–C stage or equivalent).

  • Experience in blockchain analytics, financial crime, fraud detection, or fintech data domains.

  • Strong cross-functional collaboration skills across engineering, product, and intelligence stakeholders.

  • Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering is a plus.

  • U.S. work authorization required; no visa sponsorship available.

Compensation & Benefits

Base salary range: $210,000 – $230,000 USD annually. No visa sponsorship available.

Location

Fully remote within the United States. Primary location is Los Angeles, CA. Candidates must be U.S.-based with a minimum of 6 hours of daily overlap with the Eastern Time zone.