Data Scientist, FeatureSpace jobs in United States
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Visa · 9 hours ago

Data Scientist, FeatureSpace

Visa is a world leader in payments and technology, and they are seeking a Data Scientist within the Professional Services organization to help achieve their goals. The role involves building advanced statistical models, collaborating with clients, and applying analytical theory to solve real-world problems.

BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Applying analytical theory to diverse real-world problems on large and dynamic datasets
Generating integral work products from project kickoff through to live deployment
Developing statistical models and algorithms for integration within FeatureSpace products
End-to-end processing and modelling of large customer data sets
Producing materials to feedback analytic output to customers (reports, presentations, visualizations)
Working collaboratively with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
Evaluating and improving analytical results on live systems
Developing an understanding of industry data structures and processes
Working with engineering/development teams to support and enhance the analytical infrastructure
Testing analytical models and their integration within the ARIC platform
Providing input into future data science strategy and product development
Building advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time, based on retail, online and ecommerce transaction data

Qualification

Machine LearningStatistical ModelingData AnalysisPythonSQLJavaRCustomer-Facing RoleVersion ControlLinuxProblem SolvingCommunication SkillsTeam CollaborationAttention to DetailAdaptability

Required

2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)(e.g. Computer Science, Physics, Mathematics, Engineering)

Preferred

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)
Experience in applying machine learning algorithms to real world data
You have experience in implementing statistical models and analytical algorithms in software
Prior experience in Python, Java, R or other programming language for data analysis, machine learning or algorithm development
Technical and analytical skills with the ability to pick up new technologies and concepts quickly
Problem solving skills (especially in data-centric applications)
Strong, clear, concise written and verbal communication skills
Ability to manage and prioritize personal workload
Practical experience of the handling and mining of large, diverse, data sets
Constructive participation in system architecture/design discussions from an analytical perspective
A Ph.D. or other postgraduate qualification would be an advantage but is not essential
Experience working in a Linux command line environment
Experience using SQL to analyze data
Experience with version control software and workflows (e.g. git)
You are comfortable being in a customer-facing role that requires close collaboration with clients

Benefits

Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

Company

Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.

H1B Sponsorship

Visa has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (459)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)

Funding

Current Stage
Public Company
Total Funding
unknown
Key Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO

Leadership Team

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Ryan McInerney
Chief Executive Officer
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Chris Suh
EVP & Chief Financial Officer
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Company data provided by crunchbase