Insight Global is currently seeking an experienced Data Scientist to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence. On a day to day this person must be able to work independently on data science / ML projects for multiple business functions. They will help identify and frame the data science and ML opportunity from understanding the business problem. This person will also gather and transform internal and external data and then analyze data and deliver insights via visualizations and dashboards. They must be able to create, productionize, and maintain models. Finally this person must be able to present, explain and defend results from analysis and modeling to different parts of the business. This is a 5 day a week position onsite.
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.
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5+ years of practical experience framing and solving business problems in supply chain, logistics, or operations with probability / statistics, visualization, inferential or predictive models
5+ years professional experience programming production code in Python
Software engineering skills - best practices of software design, API design, knowledge of design patterns, version control, and production considerations such as performance, logging, maintainability, refactoring, testing and debugging
Hands on experience with MLOps
Educational background in Statistics, Applied Mathematics, or scientific field is a plus
Experience building solutions in AWS is a plus
Benefit packages for this role will start on the 31st 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.