Data Scientist - Sr. Consultant Level

• Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
USD $180,600.00 - 289,300.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Facilitation
  • Finance
  • FOCUS
  • Marketing
  • Innovation
  • Advanced Analytics
  • Project Scoping
  • Leadership
  • Data Engineering
  • Statistics
  • Artificial Intelligence
  • GitHub
  • Recruiting
  • MBA
  • JD
  • Analytical Skill
  • Analytics
  • Management Consulting
  • Database
  • Data Analysis
  • Apache Hive
  • Apache Spark
  • Predictive Modelling
  • Generative Artificial Intelligence (AI)
  • Orchestration
  • LangChain
  • Vector Databases
  • Management
  • Thought Leadership
  • Data Science
  • SQL
  • Python
  • Modeling
  • Machine Learning (ML)
  • Evaluation
  • Financial Services
  • Banking
  • Business Model
  • Sales
  • Payments
  • FSA
  • Life Insurance
  • System Integration Testing
  • Law

Summary

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

To ensure that Visa's payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The North America Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for a Senior Manager, Data Science who will support clients across banks, merchants & retailers, digital products, marketing, helping them unlock insights and drive innovation through advanced analytics and strategic data applications.

Essential Functions:
  • Work with internal and external clients to understand their strategic business questions and lead project scoping and design to answer those questions by leveraging Visa data
  • Develop propensity, segmentation and other predictive models to drive business impact
  • Proactively engage with clients and Visa client leadership in regular strategic and planning discussions, cultivate and manage a pipeline of work with clients
  • Develop frameworks, approaches, solutions and recommendations that effectively and efficiently address the most impactful opportunities and challenges
  • Produce insights and analyses to improve client performance, drive understanding of client issues and provide strategic guidance for client priorities across the payment
  • Ideal candidate will have payments and management consulting experience
  • Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance
  • Provide guidance in modern analytic techniques and business applications to unlock the value of Visa unique data set, in keeping with market trends, client needs and emerging techniques
  • Build and experiment with machine learning and generative AI models by applying a variety of statistical and computational techniques
  • Apply AI-enabled tools to streamline everyday work, including data exploration and model development (e.g., GitHub Copilot, Claude Code, Cline, OpenAI Codex)
  • Organize and manage multiple data science projects with diverse cross-functional stakeholders
  • Ability to influence and negotiate with senior executives

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications:

8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions

Advanced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python Expertise in the application of predictive modeling and machine learning techniques, including exposure to LLMs and GenAI applications

Experience with LLM orchestration frameworks (LangChain or similar), vector databases, and embedding models Ability to present evidence-based insights and convey clear, actionable recommendations to technical and non-technical audiences

Experience with managing project teams and providing direction and thought leadership across multiple cross-functional projects with diverse cross-functional stakeholders

Demonstrated expertise in data science tools and techniques, including advanced proficiency in SQL for data querying and transformation, expert-level knowledge of Python for analysis, modeling, and automation, and a strong foundation in machine learning encompassing model development, evaluation, and deployment.

Prior experience with a consulting firm delivery consulting services to financial services clients Understanding of Cards/Payments and Banking business model would be a plus

U.S. Applicants Only
The estimated salary range for this position is $180,600 to $289,300 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24230073
  • Posted 5 hours ago
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