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data

Posted 1 weeks ago

Senior Data Scientist

at Veriff

Tallinn, EstoniaRemote

Requirements

  • Our AI-powered product uses advanced image recognition, document detection, data extraction, fraud detection, and behavior analysis to make identity decisions.
  • We are making significant investments to create a top-notch machine learning platform for prototyping, training, deploying, and monitoring machine learning models at a massive scale.
  • Together with our world-class data annotation, data curation and MLOps teams, we fuel the AI-powered engine behind our success.
  • As a Senior Data Scientist for the Physical Identities team , your primary responsibility will be to design, build, deploy and monitor machine learning models and solutions specifically tailored for our identity verification products.
  • In this role, you will collaborate closely with Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers and other data professionals to develop state-of-the-art document detection and classification, data extraction and fraud detection algorithms.
  • Influencing and shaping our in-house models, and evaluating external solution vendors, and improving instrumentation to generate valuable insights while creating new machine learning products
  • Establishing key metrics, deriving data-driven insights, and conducting experiments to assess the overall product impact of our biometric machine learning solutions on identity verification
  • Working both independently and collaboratively with other engineers to define and deliver high-impact product features in the biometrics domain
  • experience in the identity verification industry, successfully delivering high-performance machine learning models in the verification of physical identity documents.
  • experience working with Deep Learning toolkits such as Tensorflow or PyTorch and Gradient Boosted models libraries like XGBoost or Catboost.
  • Great product thinking skills. Proficiency in SQL

Benefits

  • Theoretical and applied knowledge in Machine Learning concepts with a special focus on Computer Vision, Data Extraction and Anomaly Detection techniques Hands-on
  • Stock options that ensure your share in our success
  • Extra recharge days on top of your annual vacation
  • Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
  • Learning and Development & Health and Sports budget that you are free to tailor to your own needs

Additional details

  • Beneath a simple yet elegant user interface lies a complex system of functionalities.
  • We help our partners build onboarding processes that ensure good people get things done and bad folks get stopped.
  • In order to take our product to the next level, we need world-class data scientists to automate processes historically reserved for humans, and do so at superhuman performance levels.
  • You will drive projects like, document detection and classification, OCR extraction and validation, supervised/unsupervised detection of anomalies in physical documents or document fraud risk scoring systems and leverage our large knowledge base and production data volumes to take these initiatives from initial prototype through full production deployment.
  • Owning end-to-end responsibility for building identity verification machine learning models from prototyping to production and and driving measurable impact in live environments
  • Taking full ownership for performance metrics like verification accuracy and false acceptance rates, and pushing the boundaries of what’s possible under high-security constraints
  • You are the right future Veriffian for the job if you have:
  • Can effectively communicate the results and trade-offs to both technical and non-technical audiences
  • Enjoy working in a fast-paced, highly fluid, and multi-functional environment.
  • Why Veriff? We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world.

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