Data Scientist- INTL

Job Description

Insight Global is seeking a Machine Learning Scientist to support a dynamic pricing initiative for a leading rental car and mobility client. This individual will play a critical role in scaling an existing machine learning solution that has already proven value through A/B testing. The ideal candidate is highly analytical, statistics‑driven, and comfortable working deep in the data before ever building a model.

This role focuses on reducing business risk through rigorous analysis and helping expand dynamic pricing across multiple value‑added services.

• Pull and analyze large datasets using SQL and Python
• Perform deep statistical analysis to validate hypotheses
• Design experiments and evaluate A/B test results
• Visualize trends and insights to reduce business risk
• Partner with stakeholders to validate pricing strategies
• Build machine learning models after completing thorough analysis
• Support scaling of dynamic pricing across value‑added services

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 3–5 years of experience in data science or machine learning science
• Very strong foundation in statistics (non‑negotiable)
  • A/B testing
  • Hypothesis testing
  • P‑values
  • Handling incorrect hypotheses and outliers
• Strong Python experience for data analysis
• Strong SQL skills (Databricks SQL or equivalent)
• Ability to translate analytical insights into real‑world business decisions
• Experience performing deep data analysis before modeling
• Experience building machine learning models
• Experience deploying models to production environments
• Experience supporting operational or business decision‑making with models
• Familiarity with Pandas, Scikit‑learn, Matplotlib
• Growth mindset and eagerness to learn