drjobs Data Scientist - Cyber Analytics AI Innovation

Data Scientist - Cyber Analytics AI Innovation

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Warsaw - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

  • Visas Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the worlds most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants 15k Financial Institutions and billions of everyday people.   While working with us youll get to work on complex distributed systems and solve massive scale problems centered on new payment flows business and data solutions cyber security and B2C platforms.

  • The Opportunity:

  • We are looking to hire a Data Scientist to lead the AI/ML initiatives in the Cybersecurity Products team. This position will be based out of Warsaw Poland. In this role you will:

  • Be responsible for driving designing and building cutting edge innovation in the space of cybersecurity through Artificial Intelligence and Machine Learning current scope of problems includes behavior biometrics riskbased authentication Account Takeover protection advanced threat detection smart incident response AI model threat analysis and many more.

  • Drive the continued innovation and engineering of our existing behaviorbased adaptive authentication product and bot/fraud protection product with a highperformance team of data scientists and engineers.

  • Build innovative solutions and collaborate with engineering and product partners across the global Visa organization that help secure Visa against a variety of threats and attacks.

  • Provide consultation to more experienced leaders in order to recommend solutions which solve security & other business challenges.

  • You must have strong technical depth and experience in application of Machine Learning Deep Learning and Data Science techniques. On top of that you should also have a genuine interest in cybersecurity and a desire to build solutions that deliver real impacts to the world. We will rely on your leadership to establish a roadmap and vision as this team engages in existing and new emerging areas.

  • Support transfer technical knowledge to facilitate implementation of the business solution provided. Document all projects developed including clear and efficient coding and write other documentation as needed.

  • Identify relevant market trends by country based on a deep analysis of payment industry information. Interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives. Continuously develop and present innovative ideas to improve current business practices within Visa.

  • Essential Functions:

  • Cyber Analytics Product: Research innovation in digital authentication using behavior biometrics capabilities build applied AI based models and engineer them into the product called Visa Behavior Analytics. You will engage in data science and applied AI related activities for a Visa engineered product to protect against account takeover related threats continuously enhancing it to combat threats in the secure authentication and perimeter defense space.

  • Cyber/AI R&D:Research innovation in applying AI to the more general field of cybersecurity including the protection with and against AI driven technologies as well as the AI models themselves. You will be using your core competencies around AI and data science and help drive the teams to build models and solutions that work at scale harnessing Petabytes of data while applying it to products that need to respond with cyber analytics in milliseconds.

  • Influence & Collaborate:Be able to present results to a cross section of employees including CLevel and other senior leadership at Visa. You will engage with internal technology and cyber teams along with global product orgs. In addition you will collaborate with colleagues in technology and product offices to establish effective productive business relationships. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.


Qualifications :

Basic Qualifications:
2 years of relevant work experience and a Bachelors degree OR 5 years of
relevant work experience.

Preferred Qualifications:
3 or more years of work experience with a Bachelors Degree or more than 2
years of work experience with an Advanced Degree (e.g. Masters MBA JD
MD).
3 years of experience in modern data mining and data science techniques
(e.g. regressions decision trees ensemble algorithms neural networks time
series analytics clustering anomaly detection text analytics etc.).
Candidates with a PhD in a quantitative field such as Statistics Mathematics
Operational Research Computer Science Economics or engineering preferred.
Experience in developing and deploying products using Docker Kubernetes
and the containerization technology stack.
Experience in development of advanced machine learning and deep learning
models such as RNN LSTM Graph Neural Networks.
Experience and proficiency in working with large language models (LLMs) and
familiarity with the associated solution architecture and infrastructure
including Nvidia GPUs.
Experience in leading building and supporting scalable and reliable AI/ML
powered systems enabling rapid prototyping and advanced analytics using
modern big data and AI/ML technologies (e.g. Spark Kafka TensorFlow
PyTorch) in an agile environment.
Software Engineering background: The candidate must be proficient in Python
and at least one objectoriented programming language (Java Golang C
etc.) Golang experience is desired. Candidate must possess software
engineering skills and be able to take endtoend ownerships of analytical
models.
Data Wrangling: The candidate must have proficient data wrangling skills with
Python SQL and other data processing tools/scripts.
Experience with the endtoend machine learning lifecycle and MLOps
including data preprocessing and feature extraction model training and
evaluation deployment and monitoring of AI models in production
environments.
Experience working with Docker in both development and deployment
workflows ensuring smooth transitions from development to production
environments.
Distributed Systems: practical experience with NoSQL data platforms (e.g.
Cassandra Lakehouse DynamoDB) and caching technologies like Redis is a
plus.
A solid understanding of the Linux networking subsystem contributing to the
stability and performance of deployed AI/ML systems.
A solid understanding of the web applications and APIs contributing to the
frontend accessibility and integration of AIdriven solutions.
Cloud domain: Familiarity with infrastructure and analytics services on cloud
(e.g. AWS Azure) is a plus.
Domain Knowledge Candidate with background in one or multiple of the
following domains is a plus: Cybersecurity AI security/privacy research and
Biometrics


Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.