Senior Level Senior Staff Data Scientist Jobs
Senior level senior staff data scientist jobs place experienced professionals in charge of modeling strategy, analytical frameworks, and the cross-functional teams that turn data into decisions. Openings concentrate across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, remote, and hybrid roles at employers like Grindr, SentiLink, and Stripe hiring at this level now.
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INTRODUCTION
OP Labs builds Optimism, an open-source blockchain network that powers the next generation of financial infrastructure. Hundreds of companies, from the world's largest enterprises like Sony, Coinbase, Kraken, Uniswap, OKX, and Bitpanda to the most ambitious early-stage builders, use the OP stack to launch their own blockchains and bring their users onchain. Today, over 65% of Layer 2 activity on Ethereum runs through the OP stack. We are a small team building at the speed of the ecosystem we support. We’re remote-friendly but the NYC office is our center of gravity. We've raised $178M from a16z, Paradigm, and others. We have our work cut out for us and are looking for exceptional people to join us.
ROLE AND RESPONSIBILITIES
Analyze large datasets to extract meaningful insights and identify trends across all blockspace
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
Design and build data pipelines to collect, clean, and preprocess data from various sources
Perform statistical analysis and hypothesis testing to validate model performance and accuracy
Create data visualizations and dashboards to communicate findings to stakeholders
Stay up-to-date with the latest developments in blockchain technology, AI, and data science methodologies
Conduct research and experiments to explore new opportunities and improve existing models
Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis
BASIC QUALIFICATIONS
7+ years of professional data science experience
A degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Sciences, Engineering)
Strong track records of designing, prototyping, scaling and launching data science products to solve business problems
Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise into your solution
Strong coding skills in general purpose languages like Python and SQL, and familiarity with software engineering principles around testing, code reviews and deployment
Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment
Experience with web3 and blockchain protocols is a plus
Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up
We are aware of fraudulent individuals falsely claiming to represent OP Labs in recruitment activities.
Please Note
All official communication will come from an @oplabs.co email address, or from a verified Linked profile.
We will never ask for payment, banking information, or personal identification details at any stage of our hiring process.
All current openings are listed exclusively on our official careers page and linked from our verified social profiles.
If you’re ever unsure about a communication that claims to be from OP Labs, please contact us directly at people@oplabs.co to verify authenticity. Your safety and trust are very important to us. Thank you for helping us prevent fraud.
INTRODUCTION
OP Labs builds Optimism, an open-source blockchain network that powers the next generation of financial infrastructure. Hundreds of companies, from the world's largest enterprises like Sony, Coinbase, Kraken, Uniswap, OKX, and Bitpanda to the most ambitious early-stage builders, use the OP stack to launch their own blockchains and bring their users onchain. Today, over 65% of Layer 2 activity on Ethereum runs through the OP stack. We are a small team building at the speed of the ecosystem we support. We’re remote-friendly but the NYC office is our center of gravity. We've raised $178M from a16z, Paradigm, and others. We have our work cut out for us and are looking for exceptional people to join us.
ROLE AND RESPONSIBILITIES
Analyze large datasets to extract meaningful insights and identify trends across all blockspace
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
Design and build data pipelines to collect, clean, and preprocess data from various sources
Perform statistical analysis and hypothesis testing to validate model performance and accuracy
Create data visualizations and dashboards to communicate findings to stakeholders
Stay up-to-date with the latest developments in blockchain technology, AI, and data science methodologies
Conduct research and experiments to explore new opportunities and improve existing models
Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis
BASIC QUALIFICATIONS
7+ years of professional data science experience
A degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Sciences, Engineering)
Strong track records of designing, prototyping, scaling and launching data science products to solve business problems
Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise into your solution
Strong coding skills in general purpose languages like Python and SQL, and familiarity with software engineering principles around testing, code reviews and deployment
Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment
Experience with web3 and blockchain protocols is a plus
Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up
We are aware of fraudulent individuals falsely claiming to represent OP Labs in recruitment activities.
Please Note
All official communication will come from an @oplabs.co email address, or from a verified Linked profile.
We will never ask for payment, banking information, or personal identification details at any stage of our hiring process.
All current openings are listed exclusively on our official careers page and linked from our verified social profiles.
If you’re ever unsure about a communication that claims to be from OP Labs, please contact us directly at people@oplabs.co to verify authenticity. Your safety and trust are very important to us. Thank you for helping us prevent fraud.
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Who's Hiring
Top Industries Hiring
- Technology & Software28
- Banking & Financial Services7
- Investment & Asset Management6
- Automotive2
- Science & Research2
Senior Level Senior Staff Data Scientist Jobs: Frequently Asked Questions
How do I get a senior level senior staff data scientist job?
Employers hiring at this level look for candidates who have owned end-to-end machine learning or advanced analytics initiatives, not just contributed to them. Demonstrating that you have set technical direction, mentored junior scientists, and tied model outcomes to measurable business results gives you a clear edge. A strong portfolio of production-deployed work and cross-functional leadership experience will distinguish you from mid-level applicants.
Which companies hire senior level senior staff data scientists?
Companies hiring senior level senior staff data scientists right now include Grindr, SentiLink, and Stripe, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large technology firms, financial institutions, and data-intensive enterprises that run mature analytics functions and need scientists who can lead them.
Are there remote senior level senior staff data scientist jobs?
Yes, remote and hybrid options are well represented at this level. About 69% of senior level senior staff data scientist openings are remote or hybrid as of September 2026, reflecting strong employer demand for experienced scientists who can lead distributed teams and collaborate effectively across time zones without requiring daily on-site presence.
What makes a senior staff data scientist role senior level?
Senior level senior staff data scientist roles are defined by scope and ownership rather than task execution. Scientists at this level own the design of modeling systems, set technical standards for the team, make architectural decisions, and are accountable for how analytical outputs affect business outcomes. They also mentor junior and mid-level scientists, influence roadmap priorities, and serve as the primary technical voice in cross-functional planning.
Which industries hire the most senior level senior staff data scientists?
Senior level senior staff data scientist roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors generate large, complex datasets and invest heavily in predictive modeling and AI-driven decision-making, creating sustained demand for scientists who can lead high-stakes analytical programs at scale.