Jr. Data Scientist Jobs

What does a great Jr. Data Scientist do at Fiserv?

You’ll be a part of Global Business Solutions (Merchant business) – Fraud and Credit Decision Science team, responsible for developing and deploying predictive ML models in the form of automated risk controls that help in reducing fraud and credit risk losses as well as enabling top line growth. As a part of this team, you’ll be using internal and external data assets to generate insightful analytics, build models/rules, create data driven capabilities/ solutions to manage risk and identify new areas of opportunity. Key functions supported by the team include New Merchant Onboarding & Underwriting, Existing Merchant Risk Monitoring, Lending Products, and other/ commercial Risk Solutions. This position will be a critical interface with stakeholders within and outside Fiserv in building best-in-class analytical solutions.

We'll Help You To

• Measure and realize how your work contributes to reducing losses/ expenses and supporting business growth/ revenue.
• Become a key enabler to develop data driven capabilities and implement automated decisions using existing and new data, advanced analytics and ML based predictive models
• Get great exposure to the payments industry, the merchant and transaction data that flows through payment networks as we apply innovative techniques to prevent fraud and credit losses, and support growth, specifically from digital channels.

You Can Look Forward To

• Tracking and monitoring model performance and provide analytical support to business partners for addressing their questions regarding automated decisions or automated alerts through informed analytics
• Develop documentation to support internal and external stakeholder requirements
• Conduct complex analysis using statistical and other industry leading quantitative techniques
• Implementing models and decision rules in production in partnership with IT / deployment teams
• Evaluating and integrating data from internal and external sources to support modeling, analytics, and reporting
• Partnering with business and technical SMEs to understand relevant data, analyze and perform necessary deeper-dives to solve given business problem, summarize and present key findings
• Designing and implementing ML / predictive models by utilizing internal and external data available and applying statistical techniques
• Supporting the transformation of risk data capabilities and decision systems through advanced and sustainable technology, new data sources and real-time decisioning

You're The Kind Of Person Who

• Can work on multiple projects while still meeting deadlines
• Is highly analytical - data driven
• Has superb communication and interpersonal skills
• This is a Hybrid position - 3 days in office with an option to work 2 days from home. First 90 days you'll be expected in office all 5 days.
• Applicants must be authorized to work for any employer in the US. We are unable to provide employer sponsorship or take over sponsorship of an employer sponsored visa at this time.

Basic Qualifications For Consideration

• 1-2 years of hands-on experience in one or more of the following areas: risk / marketing data analytics or predictive modeling
• Bachelor’s degree in a quantitative field (Mathematics / Statistics / Computer Science / Engineering)
• Proficient in SQL/SAS/Python, Excel or other analytical tools / open-source programming languages

Preferred Qualifications For Consideration

• Hands-on experience with AI / ML techniques
• Exposure to and knowledge of statistical / financial modeling in FINTECH / Payments domain
• 3+ years of relevant experience
• Local candidate near Berkeley Heights, New Jersey