Assess, propose, and develop toolsets and techniques for detection and mitigation of bias in data and ML models; use these tools in testing and validating models; Assess, challenge, and at times defend state-of-the-art decision-making systems to internal partners; Monitors deployed models, test performance against monitoring standards, identify impact of drifts; Partner cross-functionally with data scientists, business analysts, software engineers, and product managers to identify and mitigate risks inherent in machine learning models
Requirements:
A Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field and at least 4 years of relevant work experience or a PhD in these fields and at least 2 years of relevant work experience; 4+ years’ experience with and solid proficiency in machine learning techniques and predictive modeling
Text:
Senior Data Scientist Assess, propose, and develop toolsets and techniques for detection and mitigation of bias in data and ML models; use these tools in testing and validating models; Assess, challenge, and at times defend state-of-the-art decision-making systems to internal partners; Monitors deployed models, test performance against monitoring standards, identify impact of drifts; Partner cross-functionally with data scientists, business analysts, software engineers, and product managers to identify and mitigate risks inherent in machine learning models A Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field and at least 4 years of relevant work experience or a PhD in these fields and at least 2 years of relevant work experience; 4+ years’ experience with and solid proficiency in machine learning techniques and predictive modeling
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