Collaborate effectively with cross-functional stakeholders to identify questions and business challenges, and develop plans of action to define, design, and develop machine learning models and algorithms.
Apply strong mathematical and statistical principles to generate and test hypotheses, analyze and interpret results, and provide insights based on data analysis.
Navigate large, complex datasets for data mining, profiling, and curation, as well as utilize natural language processing (NLP) techniques.
Design, develop, and program methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources.
Develop and evaluate predictive models and algorithms that optimize value extraction from data to support business process improvements and solve challenges.

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/ .

Required Skills & Experience

Strong mathematical and statistical background, with expertise in applying these principles to machine learning and AI model development.
Proficiency in Python, with experience in building AI models and utilizing relevant libraries and frameworks.
Demonstrated skills in exploratory data analysis techniques, machine learning algorithms, model validation techniques, and data visualization techniques.
In-depth knowledge of technical areas such as Snowflake, Python, Spark, R, Shiny, Jupyter, and associated packages and libraries (e.g., NumPy, pandas, SciPy, OpenAI).
Proficiency in data manipulation and analysis using SQL.

Nice to Have Skills & Experience

Oracle and Snowflake

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.