Senior Data Scientist

This range is provided by R CUBE CREATIVE CONSULTING INC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$160.00/yr - $170.00/yr

Direct message the job poster from R CUBE CREATIVE CONSULTING INC

• Lead design and implementation of customer profitability models to assess margin contribution, lifetime value, and account-level economics.
• Develop and maintain predictive models using statistical and machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods).
• Partner with Finance and Sales to create a customer segmentation framework based on financial contribution, cost-to-serve, risk, and growth potential.
• Analyze product, pricing, operational, and financial data to uncover drivers of profitability and identify margin improvement opportunities.
• Collaborate with BI and data engineering teams to ensure robust data pipelines and model deployment infrastructure.
• Build interactive dashboards and visualizations to support business users in scenario analysis and decision-making.
• Support pricing, promotion, and contract optimization initiatives through data-driven recommendations.
• Communicate findings and recommendations clearly to senior executives and non-technical stakeholders.

Minimum Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Finance, Economics, or related field (PhD preferred).
• 7+ years of experience in data science or advanced analytics, preferably in finance or consulting environments.
• Proven experience building models for customer profitability, pricing strategy, or financial forecasting.
• Strong command of SQL and at least one programming language (PySpark, Python, R, or Scala).
• Expertise in machine learning frameworks (e.g., scikit-learn, XGBoost, Tensor Flow) and statistical modeling.
• Experience working with large-scale structured and unstructured data sets.
• Proficiency in data visualization tools (e.g., Power BI, Tableau, or similar).
• Strong business acumen and ability to translate complex analytics into financial impact
• Preferred Qualifications:
• Prior experience in B2B or supply chain, logistics, or distribution industries.
• Exposure to activity-based costing (ABC) and financial margin analysis.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and model deployment best practices.
• Experience with contract analytics or incentive modeling is a plus.
• Experience with packaged solutions for AI/ML, optimization and reporting such as Micrsoft Fabric, AI Foundry, Real Time Intelligence, Azure ML, and Power BI.
• High sense of curiosity with the ability to quickly adapt to recent technologies, tools, techniques, and comfortable dealing with ambiguity.

Working Conditions

• Hybrid.

Regards

Rohit

• Seniority level Director

• Employment type
  
  Full-time

• Job function
  
  Information Technology, Finance, and Consulting
• Industries Financial Services and Retail

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