Data Scientist, Doppel
$135-350k
Offers Equity
3+ days a week in office
Social engineering defense platform
Open for applications
Social engineering defense platform
201-500 employees
Open for applications
$135-350k
Offers Equity
3+ days a week in office
201-500 employees
Company mission
To protect the world from social engineering attacks every day.
Role
Who you are
- 4+ years of experience in data analytics, data science, or a related field
- Fluency in BigQuery/SQL and familiarity with data visualization tools like Looker Studio
- Strong foundational understanding of statistical methods, forecasting, and/or experimentation
- Experience working cross-functionally and collaborating with product, engineering, and non-technical partners
- While it’s not required, it’s a bonus to be familiar with a language like R or Python, especially if you have experience writing Jupyter notebooks
- If you’re excited about the role but your past experience doesn’t align perfectly with the above, we encourage you to apply anyway
What the job involves
- We're hiring for a senior data scientist specifically focused on product analytics
- We’re looking for a customer-obsessed data scientist who wants to have outsized impact and ownership
- This role will play a significant role in shaping our roadmap
- You’ll get the opportunity to join a rapidly growing company that’s making the Internet a safer place every day
- Define the right product and customer metrics to measure success and identify new areas of opportunity
- Build scalable, self-serve dashboards to help cross-functional teams make data-driven decisions
- Create analytical models to support our product, engineering, and operations teams
- Develop forecasting models to estimate operational capacity over time, especially as we leverage AI to combat online threats
- Communicate insights clearly to technical and non-technical teams
Our take
While the NFT space is often one that is enticing to investors and traders, there are persistent issues with fraud in the market. Cybercriminals are able to pass off any image as their own intellectual property, and while NFT marketplaces do abide by copyright laws this kind of fraud can be hard to spot before money changes hands. The damage to a brand's reputation and customer trust can be hard to rectify.
Doppel exists to solve this problem. Using an AI model trained to spot fraud and IP violations, it indexes NFT data across most of the major blockchains and flags potentially fraudulent NFTs. Trusted by Opensea, Dapper and numerous other marketplaces, Doppel scans over 1.5 million NFTs daily and has identified over 100,000 threats in the marketplace.
Doppel has raised significant funding, its 2025 round aimed at accelerating product innovation and expanding its capabilities beyond NFT fraud detection into broader social engineering defense. As AI-driven scams become more sophisticated, the company is ready as a multi-channel security platform, helping organizations detect, prevent, and respond to threats across digital environments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
May 2025
$35m
SERIES B
Jan 2024
$14.4m
SERIES A
Total funding: $54.4m
Company benefits
- Health benefits: We’ve got your health covered, so you can focus on what matters.
- Flexible time off: Take the time you need, when you need it.
- Supporting Life's Biggest Job: Because family matters most, we offer paid time off for parents to bond, rest, and adjust to life’s biggest change.
- Perks for Office Days: We make getting to the office (and staying nourished) easier.
- Cell stipend: We make staying in touch a little easier.
- Home office setup: We'll take care of your home office, so you can take care of the work that matters.
Leadership
Kevin Tian
(Co-Founder & CEO)Kevin previously founded Ferryhome. Prior to that, he was a Staff Engineer & Engineering Manager at Lyft and Senior Software Engineer with Uber.
Rahul Madduluri
(Co-Founder & CTO)Prior to co-founding Doppel, Rahul was the Co-founder & CTO of YakPak and a Software Engineer at Uber.
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