Job Description As a Data Scientist on this team you will be supporting the marketing analytics organization by leveraging data to drive strategic business decisions and marketing performance. This individual will work across multiple initiatives including marketing attribution, customer segmentation, buyer group modeling, and ideal customer profile development. The role will involve analyzing and transforming large datasets, developing models and insights, partnering with cross-functional stakeholders, and presenting recommendations to leadership. Success in this role requires a balance of technical expertise, business acumen, and the ability to translate complex data into clear, actionable outcomes. 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/. Skills and Requirements 4-7 years of experience in Data Science, Analytics, or a related field. Advanced SQL and Python skills for large-scale data analysis, modeling, and transformation. Experience working within GCP and handling complex, high-volume datasets. Strong data storytelling and communication skills with the ability to present insights to business and executive stakeholders. Proven ability to manage multiple priorities simultaneously in a fast-paced, evolving environment. Experience with marketing analytics, attribution modeling, customer segmentation, or ICP development. Exposure to Teradata, PySpark, Scala, or similar big data technologies. Telecommunications industry experience.