You'll creatively use data to solve business challenges, moving beyond research to focus on production-ready solutions.You will apply advanced analytics and modeling techniques to offer recommendations based on data insights.As a mid-level professional with full production ownership, you will build and maintain products that incorporate GenAI, Machine Learning, and Large Language Models.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: Required Skills & Experience • You are an engineering-minded problem solver who can create algorithms from scratch and put them into a live environment. • Degree in a quantitative field (Computer Science, Engineering, Physics, Statistics, or Applied Mathematics) • At least 4 years of post-degree experience • A strong background in Python (required) and other languages like R or Scala. • Experience building GenAI, ML, and/or LLM products with an understanding of GenAI-enabled data architectures. • Familiarity with statistical and data-mining techniques applied to both structured and unstructured data. • Experience working with large data sets and relational databases across various industries. • A collaborative spirit and the ability to communicate complex, technical ideas effectively to both colleagues and clients.
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.
You'll creatively use data to solve business challenges, moving beyond research to focus on production-ready solutions.You will apply advanced analytics and modeling techniques to offer recommendations based on data insights.As a mid-level professional with full production ownership, you will build and maintain products that incorporate GenAI, Machine Learning, and Large Language Models.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: Required Skills & Experience • You are an engineering-minded problem solver who can create algorithms from scratch and put them into a live environment. • Degree in a quantitative field (Computer Science, Engineering, Physics, Statistics, or Applied Mathematics) • At least 4 years of post-degree experience • A strong background in Python (required) and other languages like R or Scala. • Experience building GenAI, ML, and/or LLM products with an understanding of GenAI-enabled data architectures. • Familiarity with statistical and data-mining techniques applied to both structured and unstructured data. • Experience working with large data sets and relational databases across various industries. • A collaborative spirit and the ability to communicate complex, technical ideas effectively to both colleagues and clients.
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.
