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Blockchain Data Scientist Jobs in California (NOW HIRING)

bareinsights

Senior Manager, Data Science

Los Angeles, CA · On-site

$210K - $230K/yr

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

New

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns ... Crypto/Blockchain experience • Deep understanding of modern machine learning techniques ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223K - $268K/yr

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling ... Crypto/Blockchain experience * Deep understanding of modern machine learning techniques ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223K - $268K/yr

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling ... Crypto/Blockchain experience * Deep understanding of modern machine learning techniques ...

Harmony

Blockchain Engineer

Palo Alto, CA · On-site

Required : • Bachelor degree in computer science - specializing in kernel, data structures or ... Harmony is a secure blockchain aimed to scale trust and create a radically fair economy. Founded in ...

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Blockchain Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do blockchain data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for blockchain data scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a blockchain data scientist?

A Blockchain Data Scientist applies data science techniques to analyze blockchain data, detect patterns, and derive insights from decentralized networks. They work with on-chain and off-chain data to improve security, optimize smart contracts, and support decision-making in blockchain applications. Their role involves statistical analysis, machine learning, and data engineering to interpret large-scale blockchain datasets. They often collaborate with developers, analysts, and business teams to enhance transparency, fraud detection, and efficiency in blockchain ecosystems.

What are the key skills and qualifications needed to thrive as a blockchain data scientist?

To thrive as a Blockchain Data Scientist, you need expertise in data analytics, cryptography, blockchain technologies, and a strong background in mathematics or computer science. Familiarity with programming languages such as Python or R, blockchain frameworks like Ethereum or Hyperledger, and data visualization tools are highly advantageous, as are relevant certifications in data science or blockchain. Strong analytical thinking, creative problem-solving, and the ability to communicate complex insights to technical and non-technical audiences set top candidates apart. These skills are essential for extracting actionable insights from decentralized data, ensuring data integrity, and driving innovation in blockchain-based solutions.

What are some common challenges faced by blockchain data scientists in their daily work?

Blockchain Data Scientists often face challenges such as managing and interpreting vast amounts of decentralized and sometimes inconsistent data, as blockchain data structures can be complex and require specialized methodologies for analysis. Additionally, ensuring data privacy and security while developing scalable analytical models is a key concern in this role. Collaboration with cross-functional teams, including blockchain developers and business analysts, is frequent to ensure that analytical insights align with product or business goals. Staying updated with the rapidly evolving blockchain landscape is also crucial, as new protocols and technologies can impact project requirements and analytical approaches.

Is it hard to get a job in blockchain?

Securing a blockchain data scientist position can be competitive due to high demand for skills in blockchain technology, data analysis, and programming languages like Python or Solidity. Candidates with relevant experience, certifications, and a strong understanding of blockchain concepts tend to have better chances, but the field is growing and opportunities are expanding for qualified professionals.

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

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

What are popular job titles related to Blockchain Data Scientist jobs in California?

For Blockchain Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Blockchain Data Scientist jobs in California look for?

The top searched job categories for Blockchain Data Scientist jobs in California are:

Blockchain Data Scientist jobs near you
Infographic showing various Blockchain Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Senior Manager, Data Science

bareinsights

Los Angeles, CA • On-site

$210K - $230K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.