The Principal Applied Science Manager role involves building and managing a team of high-caliber software engineers and applied researchers. The manager will ensure product and development excellence, career development of the team and establishing a strong culture of trust, collaboration & inclusion. A suitable candidate is expected to have experience of delivering reliable & scalable distributed services with a good understanding of data science fundamentals. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). 1+ year(s) of people management experience. 6+ years of software engineering or applied researcher experience or equivalent. 5+ years of experience leading high performing teams. 5+ years of technical leadership experience, planning, designing, implementing, and delivering large projects spanning multiple engineers as the primary owner or equivalent. A demonstrated track record of excellent communication and collaboration skills. Experience developing, debugging, and maintaining code. Experience leading a team to train, build and infer large scale DL models. Demonstrated organizational, problem solving and prioritization skills. Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 5+ years of people management experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
