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Pricing Data Scientist (Ref: 197980)

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Hybrid

Pricing Data Scientist (Ref: 197980)

Forsyth Barnes

Pricing Data Scientist (Ref: 197980)

Skills

SQL QueriesTableauPythonData ScienceDatabricksData AnalysisMachine LearningPySparkPower BI

20 days ago

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Important information


Contract type:

Part time

Salary:

$90,000 – $100,000 / year

Location:

Downers Grove, IL, USA

Work mode:

Hybrid

Published on:

30 September 2026

What they need


Pricing Data Scientist

Downers Grove, IL

Hybrid Working (Tuesday – Thursday Onsite)

Salary: Up to $100,000

Contact: [email protected]

Are you passionate about using data to solve real business problems?

We are partnering with a rapidly growing organization looking to add a Pricing Data Scientist to a high-impact Pricing & Analytics team. This role is ideal for someone who enjoys working with large datasets, building analytical solutions, and influencing commercial decisions through data-driven insights.

What You'll Be Doing

  • Develop and enhance pricing models and pricing strategies.
  • Analyze large datasets using SQL and Python.
  • Build automated analytical processes and reporting solutions.
  • Identify trends, opportunities, and risks through data analysis.
  • Support forecasting, experimentation, and statistical modelling initiatives.
  • Partner with business stakeholders to understand challenges and provide actionable recommendations.
  • Present findings and insights to leadership teams.
  • Contribute to the development of pricing and recommendation engines.

What We're Looking For

Essential:

✅ 1–2 years of experience in Data Science, Analytics, Commercial Analytics, Revenue Analytics, or a related field

✅ Strong Python skills

✅ Strong SQL skills

✅ Experience working with large datasets

✅ Ability to explain technical findings to non-technical stakeholders

✅ Strong problem-solving and analytical thinking

Preferred

✅ Experience with Databricks or PySpark

✅ Machine Learning and Statistical Modelling experience

✅ Forecasting or Predictive Analytics experience

✅ Power BI, Tableau, or dashboarding experience

✅ Pricing, Revenue, Customer, or Commercial Analytics exposure

Why Apply?

  • Work directly with senior leadership.
  • Join a fast-growing analytics function.
  • Gain exposure to pricing strategy, forecasting, automation, and data science projects.
  • Strong career progression opportunities.
  • Collaborative team environment with significant investment in analytics and technology.

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