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Data Scientist Pricing; Fortune

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Confidential
Full Time, Seasonal/Temporary position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Data Mining
Job Description & How to Apply Below
Position: Data Scientist Pricing (Fortune 100 Co Direct Hire)

Data Scientist Pricing (Fortune 100 Co Direct Hire)

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Results-driven Data Scientist with expertise in pricing analytics and revenue optimization within the distribution industry. Skilled in developing data-driven pricing models that balance profitability, competitiveness, and customer retention. Experienced in leveraging advanced analytics, statistical modeling, and machine learning to identify pricing opportunities, optimize discount structures, and forecast demand across diverse product lines and customer segments.

Collaborates closely with sales, finance, and supply chain teams to design and implement dynamic pricing strategies that reflect market trends, cost fluctuations, and inventory levels. Proficient in integrating large datasets from ERP and CRM systems to uncover insights that drive smarter business decisions. Focused on maximizing margins while maintaining alignment with overall business goals and customer satisfaction.

Key Responsibilities:

  • Develop and deploy predictive pricing models using Python, R, and SQL.
  • Analyze customer behavior, price elasticity, and competitive benchmarks to inform strategic pricing decisions.
  • Support pricing optimization across multiple distribution channels and product categories.
  • Build dashboards and reports to visualize pricing performance and key metrics for leadership.
  • Partner with cross-functional teams to implement and evaluate pricing experiments (A/B tests).
  • Provide insights into profitability drivers and recommend actions to improve margin and revenue outcomes.

Core

Skills:

  • Data Analysis
    • Python, R, SQL
    • Machine learning for pricing and demand forecasting
    • Statistical modeling and data visualization
  • Pricing Strategy
    • Price elasticity analysis
    • Competitor and market benchmarking
    • Dynamic pricing model design
  • Business Acumen
    • Understanding of sales, finance, and supply chain processes
    • Effective communication with cross-functional stakeholders

Seniority level:
Mid-Senior Level

Employment type:

Full-time

Job function:
Information Technology and Engineering

Industries:
Information Services and Technology, Information and Media

Benefits:

  • Medical insurance
  • Vision insurance
  • 401(k)
  • Paid paternity leave
  • Pension plan
  • Disability insurance
  • Tuition assistance
  • Paid maternity leave
  • Student loan assistance
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