Remote Data Scientist - INTL Nearshore

Job Description Insight Global is looking for a Data Science individual to support a large global technology company with current initiatives. You will help lead the design, development, and deployment of scalable models that power business decisions. This person should have strong experience working with Attrition Models in production such as Survival Analysis techniques (Kaplan Meier, Cox PH, etc. models) and/or Causal Inference techniques (Propensity Score Matching, Regression Discontinuity Design, etc.). You will be helping with initiatives in the HR space, so any experience there is an add on bonus. This will be a remote position working closely with Data Engineers, ML Engineers, and business partners to build production-ready solutions that drive measurable impact. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements -7+ years of Data Science experience -Strong experience with Attrition modeling/building attrition models -Strong experience with Survival Analysis Models (Time-To-Attrition Models) such as Kaplan-Meier estimator and/or Cox Proportional Hazards/Cox PH -Strong in Python and R and ability to build models from scratch/end to end -Experience building ML/forecasting models +Experience with Causal Inference techniques (Propensity Score Matching, Regression Discontinuity Design, etc.) +Experience working with and supporting HR

Created: 2026-02-23