Data Scientist Visa Predictive Models
Data Scientist Visa Predictive Models
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1 Vacancy
Job Description
Visa has the worlds largest consumer payment transaction dataset. We see data on over 250 billion transactions every year from all over the world. We use that data to help our clients in the payment ecosystem grow their businesses and to help consumers access a fast safe and rewarding payment experience. Visa Predictive Modeling (VPM) team develops and maintains predictive machine learning models to primarily support Visa Risk and Identity Solutions. Using VisaNet data and leveraging Machine Learning (ML) and Artificial Intelligence (AI) our model scores help Visa clients all over the world for fraud defense identity verification smart marketing etc. Through our models and services VPM fuels the growth of Visa clients generates and diversifies revenues for VISA while improving Visa Card customer experience and their financial lives.
Within VPM the Acceptance Risk Model Team is responsible for developing realtime fraud detection models serving merchants. We leverage a set of rich data available at merchant checkout including transactional digital and identity information to detect and stop fraud.
This is a Technical (Individual Contributor) role. Your responsibilities include:
- Building and validating predictive models with advanced machine learning techniques and tools to drive business value interpreting and presenting modeling and analytical results to nontechnical audience.
- Conducting research using latest and emerging modeling technologies and tools (e.g. Deep Neural Networks RNN LSTM etc. to solve new fraud detection business problems.
- Improving the modeling process through MLOps and automation to drive efficiency and effectiveness.
- Partnering with a cross functional team of Product Managers Data Engineers Software Engineers and Platform Engineers to deploy models and/or model innovations into production.
- Managing model risks in line with Visa Model Risk Management requirements.
- Conducting modeling analysis to address internal and external clients questions and requests.
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)
- Masters or PhD Degree in a quantitative field such as Statistics Mathematics Operational Research Computer Science Economics or Engineering
- Successful internships or 6 months of experience in a predictive modeling function
- Preference is given to candidates with prior working experience in predictive modeling functions
- Strong background in two or more of the following areas: machine learning deep learning AI algorithms statistical learning computations scalable systems (e.g. Spark Hadoop) large scale data analysis software engineering (automation)
- Experience with advanced and emerging technologies and tools in big data and data science (e.g. Python Spark TensorFlow PyTorch H2O Dask etc. experience with SQL Hive for extracting and aggregating data
- Good verbal and written communication skills to both technical and nontechnical audience
- Must be a team player and capable of handling multitasks in a dynamic environment
- Payment industry knowledge or fraud modeling experience is a plus but not required
Technical Qualifications
- Experience in Python and SQL is required
- Knowledge or experience with Hadoop Hive Spark for big data analysis is a plus
- Knowledge or experience with script and shell programming in Unix/Linux is a plus
- Knowledge or experience with using GitHub and Jira for data science projects is a plus
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510 of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116500.00 to 164500.00 per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
