Job Description We are seeking a Data Scientist to lead the strategy, design, development, and production deployment of Data Science, AI, and ML solutions across Enterprise GenAI applications. This role owns initiatives from end-to-end, partnering closely with business stakeholders to drive GenAI-enables innovation across products. This individual will leverage MLOps frameworks and advanced analytics models to build scalable ML-enabled GenAI products, and should have experience developing solutions from POC to deployment. 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 : Skills and Requirements · 5-7+ years of experience in Digital, Data, Software Engineering, or Statistics, including 5+ years in Applied AI/ML and Data Science · Proven end-to-end ownership of ML initiatives from ideation through production deployment · Deep hands-on knowledge of machine learning, AI techniques, and applied statistics · Experience with distributed data and compute platforms (e.g., Azure Databricks, Spark, MySQL) · Strong programming experience in Python (additional languages such as Java, R, or JavaScript preferred) Bachelors degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, or related field · Master's degree in Data Science, AI/ML or related discipline · Experience defining standards, best practices, and automation framework for ML and analytics · Relevant certifications in Data Science, AI, or ML Prior experience supporting multiple products or lines of business in an enterprise environment

The role requires 5-7+ years of experience in Digital, Data, Software Engineering, or Statistics, with at least 5 years in Applied AI/ML and Data Science. Proven end-to-end ownership of ML initiatives from ideation through production deployment is necessary. Deep hands-on knowledge of machine learning, AI techniques, and applied statistics is essential. Experience with distributed data and compute platforms such as Azure Databricks, Spark, and MySQL is required, along with strong programming experience in Python. A Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, or a related field is needed, and a Master's degree in Data Science, AI/ML, or a related discipline is preferred. Experience defining standards, best practices, and automation frameworks for ML and analytics, as well as relevant certifications in Data Science, AI, or ML, are also beneficial. Prior experience supporting multiple products or lines of business in an enterprise environment is expected.