Data Scientist

Insight Global is seeking a Data Scientist for one of our largest telecom customers to support a pricing modeling initiative, owning the end-to-end analytics workflow from problem framing through stakeholder-ready recommendations. In this role, you will work with large, messy, real-world datasets and independently transform them into reliable modeling inputs, keeping analysis anchored to core business questions—such as estimating how price changes impact volume demand while accounting for real-world constraints like product availability. You will build, calibrate, and validate advanced statistical and econometric models—including constrained hierarchical GLMs and Bayesian hierarchical models with weighted partial pooling, as well as constrained random coefficient approaches—to generate robust price and elasticity insights. The work is performed at scale in cloud environments (e.g., Databricks), with an emphasis on reproducibility, documentation, and collaboration through modern version control (e.g., GitHub) to accelerate iteration, onboarding, and decision-making.

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/.

-Master’s degree or higher preferred in Statistics (or closely related quantitative field) with the proven ability to apply rigorous statistical thinking to ambiguous real-world problems.
-Experience in pricing / elasticity modeling with hands-on experience building & validating price-volume / demand elasticity models.
-Experience capturing, cleaning, joining and contextualizing data within large complex data sets.
-Strong python development skills with hands-on experience using PySpark, Databricks & Snowflake
-Experience with advanced statistical and econometric models including constrained hierarchical GLMs with weighted partial pooling, Bayesian hierarchical models with weighted partial pooling, and/or constrained random coefficient models

-Experience with Github

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.