Senior Data Scientist

R CUBE CREATIVE CONSULTING INC

Austin (TX)

On-site

USD 160,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Vision insurance
401(k)

Job summary

A consulting firm in Austin is seeking a Data Scientist to lead efforts in profitability modeling using advanced analytical techniques. The role demands a strong analytical background and experience in data-driven decision-making. Candidates should have extensive experience in data science and a relevant educational degree. The firm offers competitive compensation and a hybrid working model.

Qualifications

  • 7+ years of experience in data science or advanced analytics.
  • Proven experience building models for customer profitability.
  • Strong command of SQL and at least one programming language.

Responsibilities

  • Lead design and implementation of customer profitability models.
  • Develop and maintain predictive models using statistical techniques.
  • Analyze product and pricing data to uncover drivers of profitability.

Skills

Statistical modeling
Machine learning frameworks
SQL
Data visualization tools

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Power BI
Python

Job description

R CUBE CREATIVE CONSULTING INC provided pay range

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.

Base pay range

$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, TensorFlow) 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

737 304 7465

Seniority level
  • Seniority level
    Director
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology, Finance, and Consulting
  • Industries
    Financial Services and Retail

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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