Data Scientist Job at Harnham, Chicago, IL

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  • Harnham
  • Chicago, IL

Job Description

Job Description

Data Scientist - Product & Analytics

Hybrid (US-based)

Salary up to $140,000 base + benefits

Are you a Data Scientist who wants their work to genuinely matter?

We're partnering with a fast-growing, global SaaS business whose products are used by thousands of organisations to improve real-world outcomes at scale. This is a chance to join a highly collaborative Analytics & Insights function where data science directly shapes products, strategy, and decision-making.

In this role, you'll work end-to-end - from building robust data pipelines through to deploying predictive models that drive measurable impact. You'll collaborate closely with Product, Engineering, and domain experts, translating complex problems into scalable, data-driven solutions.

What you'll be doing

  • Building and deploying statistical and machine learning models to support forecasting, prediction, and optimisation
  • Designing scalable data pipelines using modern tooling to turn complex data into actionable insights
  • Running experiments and hypothesis testing to measure product impact and improve outcomes
  • Partnering cross-functionally to solve high-value business and customer problems
  • Ensuring data quality, reliability, and performance through monitoring and validation

What we're looking for

  • Commercial experience in Data Science or Applied Analytics (SaaS experience a plus)
  • Strong foundations in statistics and machine learning
  • Hands-on experience with Python and SQL
  • Exposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.)
  • Someone who enjoys working across teams and seeing their work used in production

Why apply?

  • Hybrid working with flexibility
  • Salary up to $140,000 base plus a strong benefits package
  • Work on meaningful, real-world problems at scale
  • High visibility role with genuine influence over product and strategy
  • Collaborative, mission-driven culture with strong technical peers

If you're looking for a role where your models don't sit on a shelf - this is worth a conversation.

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