Demo

Senior Data Scientist

Bridge Professional Services
Illinois, IL Full Time
POSTED ON 4/21/2025
AVAILABLE BEFORE 2/12/2026

THIS IS A 100% REMOTE POSITION!


A global leader in cloud based fintech automation software is seeking a Senior Data Scientist to develop and deploy scalable data science solutions that drive decision-making across their cloud-native insurance platform. This individual will work closely with engineering, architecture, and product teams to design models, run experiments, and deliver insights that support strategic initiatives across underwriting, distribution, and operations.

This role is ideal for someone who thrives at the intersection of business and data science—combining strong statistical modeling skills with a practical mindset for production-ready solutions.


What You’ll Do:

  • Develop and deploy predictive models and analytical solutions
  • Build and automate pipelines for data ingestion, feature engineering, model training, evaluation, and deployment
  • Use AutoML tools where appropriate to accelerate experimentation and rapidly prototype solutions
  • Collaborate with data engineering and DevOps teams to embed models into cloud-native applications and analytics platforms
  • Support monitoring, retraining, and performance tuning of production models
  • Partner with stakeholders to translate business challenges into data science use cases with measurable outcomes
  • Maintain documentation and communicate insights clearly across technical and non-technical teams


Your Experience Should Include:

  • Experience with insurance or financial data is preferred for this role
  • 5 years of experience in data science or machine learning roles, ideally in a cloud-native environment
  • Strong Python programming experience with libraries such as scikit-learn, XGBoost, Pandas, and Matplotlib
  • Deep experience with SQL and analytical databases, especially BigQuery
  • Hands-on experience using Vertex AI, BigQuery ML, AutoML, or equivalent ML tooling
  • Familiarity with GCP services like BigQuery, Cloud Storage, Cloud Functions, and Pub/Sub
  • Working knowledge of MLOps practices, including monitoring and pipeline orchestration
  • Strong communication skills and the ability to deliver results in a cross-functional team
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field


Why You’ll Love This Role:

  • Work with cutting-edge cloud technologies and develop innovative BI solutions.
  • Direct impact on strategic data initiatives in a fast-growing organization.
  • Opportunities for career advancement within engineering and architecture teams.
  • Remote-friendly work environment with a strong focus on professional development.

Salary : $130,000 - $140,000

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