Staff Data & Decision Scientist

Fiserv

Quick summary

Work type: On-site
Location: Berkeley Heights, NJ
Salary: $110,000–$186,000 / yr
Posted: 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $148k

$97k most similar roles pay here $233k

This role pays less than 67% of similar roles. Most pay $126,800–$198,450 — the shaded band above. At the midpoint, this role pays about $148k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Fiserv

Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments

Fiserv currently has 83 open roles on FindRole.

Listed pay typically runs $110,000–$186,000 across 53 roles with salary data.

Most-posted roles

View all roles at Fiserv

At a glance

TL;DR · Staff Data & Decision Scientist

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As a Staff Data & Decision Scientist in the Operations Research and Applied Analytics team, you will design and implement prescriptive analytics solutions that drive automated business decisions across risk management, limits, pricing, and more. Your day-to-day involves formulating optimization problems with clear objectives and constraints, building models to support critical business decisions, and integrating these models into production systems. You will leverage Python and SQL for data preparation and model integration while using tools like Pyomo or Gurobi for solving complex optimization challenges. Ideal candidates have a strong background in Operations Research, Applied Mathematics, and experience with predictive modeling and machine learning pipelines. This role requires expertise in financial services, risk management, and deploying optimization models into production workflows to address real-world operational constraints effectively.

Skills

Python SQL Pyomo Gurobi PuLP Linear Programming Integer Programming Constrained Optimization JIRA Agile Methodology ML Model Pipelines Feature Stores

What you'll do

Formulate decision problems as mathematical optimization models.
Design and implement prescriptive analytics solutions for business decisions.
Translate optimization outputs into automated decisioning frameworks in production.
Evaluate trade-offs using decision-centric metrics and communicate results.
Integrate predictive ML outputs with prescriptive optimization models.

What we're looking for

5+ years of risk analytics experience and 3+ years in technical project delivery.
Strong background in Operations Research or Decision Science with hands-on experience.
Proven ability to formulate and solve complex optimization problems.
Expertise in using linear/integer programming and constrained optimization techniques.
Proficiency in Python and SQL for data preparation and model integration.
Experience deploying optimization models into production systems.
Familiarity with optimization solvers like Pyomo, Gurobi, or PuLP.

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