Data Scientist

Insight Global • Columbus, OH • 5h ago

Job Description

A client of Insight Global is looking for a Data Scientist to join their team.

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

Up-to-date knowledge of machine learning and data analytics tools and techniques

· Strong knowledge in predictive modeling methodology

· Experienced at leveraging both structured and unstructured data sources

· Willingness and ability to learn new technologies on the job

· Demonstrated ability to communicate complex results to technical and non-technical audiences

· Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines

· Strategic, intellectually curious thinker with focus on outcomes

· Professional image with the ability to form relationships across functions

· Strong experience with R/RStudio, Python, SAS, SQL, NoSQL

Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)

Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)

· Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling

· Financial Services background preferred

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