Data Scientist, DataVisor

Fraud Detection

Salary not provided

Equity available

SQL
Python
Java
C++
Hadoop
Spark
MapReduce
Junior and Mid level
San Francisco Bay Area
DataVisor

ML-powered fraud detection

Job no longer available

DataVisor

ML-powered fraud detection

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Job no longer available

Salary not provided

Equity available

SQL
Python
Java
C++
Hadoop
Spark
MapReduce
Junior and Mid level
San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Company mission

To deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.

Role

Who you are

  • Advanced degree (PhD degree preferred) in computer science, mathematics, statistics, or relevant engineering fields
  • 2+ years of work or research experience in data science and machine learning. Proficiency in object-oriented programming language, e.g. Python/Java/C++
  • Self-driven individual and proactive self-starter. Strong data analytical, critical thinking, problem-solving, and project management skills

Desirable

  • Familiar with common data structures and algorithms. Be able to write efficient and optimized computer programs
  • Proficiency in query languages such as SQL
  • Experience in big data, such as Hadoop/MapReduce/Spark
  • Experience in financial crimes and fraud analysis in a financial institution or payment solution firm

What the job involves

  • The Data Science/Modeling team holds the secret sauce of DataVisor. We run our advanced core unsupervised analytics engine and machine learning models on hundreds of billions of events from hundreds of millions of users
  • We are a mix of big data software engineers and inquisitive data scientists
  • We love finding beautiful patterns in data to catch and prevent malicious attacks against normal good users
  • We’re also not afraid to get our hands dirty; we get deep satisfaction coming up with and implementing new ideas for improvements to our detection engine
  • If you have a knack for mining fraud patterns while wrangling big data, are excited by building world class anti-fraud models, and want to work on a team that impacts the company’s bottom line, we’d love to talk to you

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.

Traditional fraud solutions have not been designed to handle digital data, and they are especially ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify the patterns which allude to fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen. Another problem with some systems has been that, in the name of security, they might delay ultimately good customers from accessing services. With DataVisor this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.

DataVisor has seen considerable investment - that will fuel its continued expansion across the globe - and has an impressive list of customers. The company has also made several partnerships that will act towards strengthening its product offering. For example, it is extending its analytics and fraud detection through partnership with Equifax, by gaining access to its rich consumer identity data.

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Dec 2022

$40m

LATE VC

Feb 2018

$40m

SERIES C

Total funding: $94.5m

Company benefits

  • Stock Options
  • Commuter Passes
  • Paid Time Off
  • Catered Lunch and Dinner
  • Team and Company Outings

Company values

  • Take a results-driven approach.
  • Prioritise team spirit and hard work.
  • Be honest, curious, and maintain the highest levels of integrity.

Company HQ

Mountain View, CA

Founders

Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.

Fang Yu

(CPO)

Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.

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