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100% Remote Duration:
12+ Months Interview mode:
WebCam Required skills: Bachelor’s, Master’s, or Ph.D. in computer science, mathematics, engineering, physics, or related field. Have participated in US Federal Gov’t data science programs requiring TS/SCI clearance, 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. Prior history of designing and building machine learning algorithms from the ground up. Experience with making technical trade-offs between algorithmic approaches. based on collective errors, computational time, scalability, and outcomes. Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic. Successful history of converting social processes and human decision-making into computational models that yield improved results.
Compétences linguistiques
- English
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