Data Scientist- INTL

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.
Responsibilities Include:
• 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. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• 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

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.