Pricing Data Scientist (Ref: 197980)

Job Description

Pricing Data Scientist

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Downers Grove, IL

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Hybrid Working (Tuesday – Thursday Onsite)

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Salary: Up to $100,000

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Contact: View email address on ziprecruiter.com

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

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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.

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What You'll Be Doing

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

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Essential:

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

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✅ Strong Python skills

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✅ Strong SQL skills

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✅ Experience working with large datasets

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✅ Ability to explain technical findings to non-technical stakeholders

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✅ Strong problem-solving and analytical thinking

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Preferred

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✅ Experience with Databricks or PySpark

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✅ Machine Learning and Statistical Modelling experience

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✅ Forecasting or Predictive Analytics experience

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✅ Power BI, Tableau, or dashboarding experience

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✅ Pricing, Revenue, Customer, or Commercial Analytics exposure

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Why Apply?

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