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Blockchain Data Scientist Jobs in California (NOW HIRING)

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

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

... grasp of blockchain data pipelines, including event ingestion, consistency guarantees, and ... science or equivalent practical engineering experience. Company : Lunar Labs builds the most ...

Capital Markets Lead

San Francisco, CA · On-site

$160 - $230/hr

... blockchain data into actionable insights and strategic recommendations. * Documentation: Oversee ... Bachelor's degree in Finance, Economics, Computer Science, or a related field. MBA or advanced ...

Showing results 21-40

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 Sep 6, 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:

Infographic showing various Blockchain Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Senior Data Science Manager, Algorithms

Robinhood

Menlo Park, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Key responsibilities

  • Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains

  • Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption

  • Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities


Robinhood rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Crypto Data Science team is on a mission to accelerate Robinhood's position as the leading platform for crypto investors. We partner with product, engineering, finance, and research to shape the strategies behind our fastest-growing business. From launching new products to expanding internationally, our team turns complex data into clear decisions - and our work directly influences how millions of customers experience crypto at Robinhood.

As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood's crypto product roadmap and growth. This role partners with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions. Learn more about what the crypto team is up to here.

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

What you'll do

  • Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains
  • Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption
  • Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities
  • Foster a culture of excellence in analytics, experimentation, and impact within your team
  • Represent Crypto Data Science in cross-functional leadership forums and contribute to overall Crypto org strategy

What you bring

  • 7+ years of experience in data science, including at least 2+ years of people management
  • Deep experience with Python and SQL in a production or analytics environment
  • Proven success in product data science roles, with a track record of delivering strategic insights and scalable solutions
  • Strong understanding of the crypto ecosystem, with 3-4 years of direct experience highly preferred
  • Executive presence, influence across teams, and outstanding communication skills
Leadership expectations 

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them:

  • Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
  • Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
  • Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

  • Challenging, high-impact work to grow your career
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

What Robinhood employees say

Pay

Benefits

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