REMOTE Senior Data Scientist

Job Description The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and testing of statistical models, integration of NLP, and refinement and testing of the prototype. In addition, algorithmic trade-offs will be evaluated, and guidance provided to ensure all objectives are satisfied. The Senior Data Scientist will work closely with stakeholders and technical team members to ensure the quality of the results and that the derived methods are transparent, statistically sound, relevant, and documented. 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 View email address on click.appcast.io. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Bachelor’s, Master’s, or Ph.D. in computer science, mathematics, engineering, physics, or related field. Have participated in data science programs with highly sensitive data, delivering solutions requiring the combination of geospatial disciplines and pattern of life, and Social network connections. Data engineering expertise, with demonstrable experience custom building programs processing in excess of 700 Million records in less than :30min, on a highly frequent, reoccurring basis. Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not limited data attribute selection, data clean up and statistical tuning. Extensive knowledge of statistical algorithms, machine learning, and adaptive systems. #J-18808-Ljbffr