Senior Data Scientist / Senior Software Engineer

Company: Wolters Kluwer

Location: Chicago, IL

Salary: $102,000 - $178,050 a year

Type: Full-time

Posted: 2026-04-01

About this role

Senior Data Scientist / Senior Software Engineer

About the Role

This role blends advanced data science with senior-level software engineering to deliver intelligent, data-driven software solutions. As a Senior Data Scientist / Senior Software Engineer, you will design and build production-grade systems while applying statistical modeling, machine learning, and analytics to solve complex business problems.

You’ll work across Python-based data science workflows and C#/.NET-based enterprise systems on Azure, partnering closely with product, engineering, and business stakeholders. This role is ideal for someone who enjoys both hands-on engineering and deriving insights from data to influence product behavior and decision-making.

Key Responsibilities

Data Science & Advanced Analytics

  • Design and execute experiments and A/B tests to evaluate product and business hypotheses.
  • Develop, validate, and tune machine learning and predictive models.
  • Perform exploratory and root cause analysis to uncover trends, anomalies, and key drivers.
  • Lead feature engineering efforts to improve model performance and interpretability.
  • Apply statistical and mathematical techniques to real-world, applied problems.
  • Build clear and effective visualizations and analytical summaries for stakeholders.
  • Ensure data quality, integrity, and consistency across multiple sources.

Software Engineering & System Implementation

  • Design and implement services and applications that integrate data science outputs into production systems.
  • Build and maintain **C#/.NET (ASP.NET Core)** APIs and backend components on **Microsoft Azure**.
  • Develop data pipelines and processing logic supporting analytical and operational use cases.
  • Collaborate with frontend engineers to enable data-driven experiences.
  • Optimize application and data pipeline performance, reliability, and scalability.

Data Platforms & Integration

  • Prepare, preprocess, and optimize d...

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