Forsyth Barnes
Pricing Data Scientist (Ref: 197980)
Skills
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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