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Visa

Data Scientist - Senior Consultant Level

Visa is hiring a Data Scientist - Senior Consultant Level in Bellevue, United States. It pays $163k-$260k a year and Level rates it ; you can apply on Visa.

Level's read on this job

  • Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts in line with the typical data scientist posting on Level.
  • The posting mentions fine tuning and NLP among its tools and skills.
  • Visa has 851 other open roles on Level.
  • Posted in the last few days.

AI in this role

fine-tuningnlp

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Overview:

Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we’re developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You’ll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products—from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we’d like to meet you.


Essential Functions:

  • Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases.
  • Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate.
  • Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability.
  • Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results.
  • Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data.
  • Follow and strengthen data-management and governance practices that support high-quality, dependable products.
  • Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators.
  • Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform.
  • Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements.
  • Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications:

  • 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD.
  • PhD degree in computer science or relevant area.
  • Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
  • Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce.


Information for US Applicants

For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related 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.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

How we rate this

Data Scientist - Senior Consultant Level at Visa rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningNLP

Also common in data scientist jobs at this level

Pay

This job starts at
$163k
Typical data scientist job
$168k

This posting starts close to the typical data scientist job. See data scientist jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?

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  • List these exact terms on your resume: Fine-tuning and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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