Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Find Jobs
Find Jobs Near You – Available Work in Your Location
Find & Apply For Data Scientist Jobs in Lisle, Illinois
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Skip to job details
Now viewing: Pricing Data Scientist (Ref: 197980)
FB
Forsyth Barnes
Pricing Data Scientist (Ref: 197980)
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores
Job Description
Pricing Data Scientist (
Ref:
197980) at Forsyth Barnes Pricing Data Scientist (
Ref:
197980) at Forsyth Barnes in Lisle, Illinois Posted in 9 days ago.
Type:
full-time Pricing Data Scientist Downers Grove, IL Hybrid Working (Tuesday - Thursday Onsite)
Salary:
Up to $100,000
Contact:
daniel.scott@forsythbarnes.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.