Web3 Data Science Team Lead
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Position:  Full-Time

Location:  Remote (-7 GMT)


Nval is an industry-leading NFT data platform producing regulator-friendly mark-to-model and benchmark pricing for NFT assets.  Nval delivers current and historical pricing for any collection on any blockchain, including thinly traded and hard-to-price assets.

Nval technology produces sophisticated and granular financial models that deliver the highest quality pricing data available for NFT assets.  Nval is B2B focused and is building products to power marketplaces, buyers/sellers, game economies, portfolio management, actuarial (lending), regulatory reporting, tax, insurance, derivatives, and many more.  

Over $10 trillion of existing assets (collectibles, gaming, music, memorabilia, luxury goods) will be leveraged via nascent NFT technology and high-quality data output for next-generation markets to function and flourish.

We are a collaborative team that celebrates every success as if it was our own.  We win or lose as a team.  As we grow we’re quickly expanding all teams. It’s an exciting time to join Nval as we pursue new customer verticals and expand globally to power the NFT ecosystem of the future.


We are looking for a seasoned Data Scientist and Manager to lead the data science team responsible for the research and development of our pricing and analytics data products.  This role requires the hands-on leadership necessary to grow a team through the start-up phase into a mature organization.


  • Work with the Head of Product to develop, own and deliver the vision & strategy for our data science research and development functions.
  • Be the technical leader in developing data science and machine learning solutions to power our product and customer strategies.
  • Create the most advanced market pricing technology to serve the leading edge of NFT markets.
  • Build, develop, and manage a high-performing data science team through direct coaching and mentorship.
  • Perform as a hands-on coach in leading the full ML/AI development cycle: design/experiment, develop, validate, deploy, and analyze.
  • Collaborate with all functions of the company to ensure that data science processes align with the rest of the organization.
  • Other duties as assigned.


  • The data-driven mindset with a graduate degree in Computer Science, Data Science, AI/ML, Mathematics/Statistics, Engineering, or an equivalent technical field.
  • A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills, and relentless drive for progress.
  • 7+ years of relevant experience in software development, data science, or analytics.
  • 4+ years of experience in pricing, quantitative analysis, derivatives, product, and risk analytics would be highly valued.
  • Experience with crypto-based data, blockchains, NFT data, products and services.
  • Deep understanding of the predictive modeling process from data exploration, and methodology (statistical models, unsupervised and supervised ML models) to model validation, deployment, and performance monitoring.
  • Professional experience with a programming language such as R or Python, and advanced SQL, Excel, and visualization tools such as Tableau/Looker.
  • Experience with data science modeling toolsets such as Pandas, TensorFlow, PyTorch, and Scikit-learn.
  • Exceptional ability to communicate complex ideas effectively, both verbal and written, to collaborate with cross-functional teams.
  • Experience working for a rapidly growing startup, and managing change.

Working at NVAL means collaborating with experienced and innovative leaders with a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical “startup” — we offer competitive salaries and equity.

NVAL values diversity in the workplace and is an equal-opportunity employer committed to providing an inclusive and accessible work environment. If you require a unique accommodation, please let us know and we’ll work with you to meet your needs.  

We thank all candidates who apply, but only those selected for an interview will be contacted.

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