Pricing Data Scientist (Ref: 197980) (Downers Grove)

Pricing Data Scientist

Downers Grove, IL

Hybrid Working (Tuesday – Thursday Onsite)

Salary: Up to $100,000

Contact: View email address on apply.placed-app.com

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.