125 AU$ / Monthly

Senior Data Scientist, Melbourne, Lexisnexis Risk Solutions

Senior Data Scientist, Melbourne, Lexisnexis Risk Solutions

Details + Details -

  • Job type: Full time
  • Contract type: Permanent
  • Salary type: Monthly
  • Occupation: Senior data scientist
  • Min. Salary: 100.000

Location + Location -

  • Country: Australia
  • Region: Victoria
  • City: Melbourne
  • Address: Melbourne

Description + Description -

Explore our passion for discovery Global companies and governmental entities rely on us to solve their most complex data challenges. Our employees collaborate to reduce risks and create opportunities for customers in more than 100 countries. We’re adaptable, curious and ambitious. That’s why here, you’ll have the freedom to drive change, the trust to find your own path, and the space to explore more Senior Data Scientist   required at ThreatMetrix®, A LexisNexis® Risk Solutions Group, provides an end-to-end platform for digital identity intelligence and trust decisioning. As a  Senior Data Scientist , you’ll use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. Your experience with data analysis, statistical modelling , and machine learning will lead to immediate real-world impact in the form of lower consumer friction, reduced fraud losses and as a result, increased customer profitability. Responsibilities Build , maintain, and tune customer risk models , leveraging thousands of data points from the ThreatMetrix Digital Identity Network and data fe e ds from our customers Leverage large and complex data sources to help identify and flag fraud risk trends and develop solutions that detect them efficiently Explain complex patterns of behaviour using data and models in a simple manner to non-technical audience Offline analysis of customer data to tune rules, exposes patterns, research anomalies, reduce false positives, and build executive and project-level reports Collaboration with ThreatMetrix teams including Products, Engineering, and your colleagues to continually redefine best practices Demonstrate a professional and customer-centric persona when interacting directly with customers via phone, e-mail, and chat  Location Melbourne (Initially remote) Key Skills:  Track record of scoping, developing, and implementing machine learning models . Strong analytical skills – numerical degree preferred . Good c oding experience – SQL, Python ( sklearn ), SuperSet , R, SAS , etc. Knowledge of cybercrime – account takeover, Card not Present (CNP) fraud, mule fraud, social engineering , etc. Experience working with large and small datasets , intuitively exposing meaningful correlations.  Experience building external and executive reports . A keen eye for detail, accuracy, and strong critical thinking skills with advanced judgment capability . Extensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities . LexisNexis, a division of RELX Group, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on  1.855.833.5120. Please read our Candidate Privacy Policy

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Presented By: Lexisnexis Risk Solutions