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Data Scientist (Visa Predictive Models)

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Visa

18d ago

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Washington
  • Quick Apply

AI generated summary

  • You need 2+ years of experience or 5+ years without a degree, a quantitative Master’s/PhD, expertise in Python/SQL, and strong skills in machine learning and big data tools. Team player needed.
  • You will build and validate predictive models, conduct research on emerging technologies, enhance modeling processes, collaborate with cross-functional teams, manage model risks, and address client inquiries.

Requirements

  • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Master's 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 non-technical 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
  • 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

Responsibilities

  • Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting, and presenting modeling and analytical results to non-technical 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.

FAQs

What is the role of a Data Scientist in the Visa Predictive Models team?

The Data Scientist in the Visa Predictive Models team is responsible for building and validating predictive models using advanced machine learning techniques, conducting research on emerging modeling technologies, improving modeling processes through MLOps and automation, and collaborating with cross-functional teams to deploy models into production.

What qualifications are required for this position?

The basic qualifications include 2+ years of relevant work experience and a Bachelor's degree, or 5+ years of relevant work experience. Preferred qualifications include a Master's or PhD in a quantitative field, and 3 or more years of work experience in predictive modeling.

What technical skills are preferred for this role?

Preferred technical skills include experience with Python, SQL, machine learning, deep learning, data analysis tools, and experience with technologies like Spark, TensorFlow, and PyTorch.

Is prior experience in the payment industry or fraud modeling necessary?

No, prior experience in the payment industry or fraud modeling is a plus but not required.

Where will this position be based?

This is a hybrid position, meaning employees can alternate between remote and office work, expected to be in the office 2-3 times a week based on business needs.

What is the estimated salary range for this position?

The estimated salary range for a new hire into this position is between $116,500.00 and $164,500.00 per year, which may include potential sales incentive payments and can vary based on job-related factors.

What travel requirements are associated with this position?

This position requires travel of approximately 5-10% of the time.

What benefits are included with this position?

In addition to salary, this position may be eligible for a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and a Wellness Program.

Are there opportunities for career growth in this role?

Yes, the role works closely with Product Managers, Data Engineers, and Software Engineers in a dynamic environment, providing ample opportunities for collaboration and professional development.

Is communication with non-technical audiences part of this role?

Yes, strong verbal and written communication skills are required to explain modeling and analytical results to both technical and non-technical audiences.

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Visa

Technology
Industry
10,001+
Employees
1958
Founded Year

Mission & Purpose

Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid.