SENIOR APPLIED SCIENTIST
Company: Thumbtack, Inc.
Location: San Francisco, CA
Position: Full Time
Experience: See Below
Education: See Below
Responsible for applying scientific techniques to consumer products; working on next generation search experience, ranking & matching algorithms, & the end-to-end hiring experience for users of marketplace; intending & driving applied science initiatives to completion, with focus on the business impact of these projects; architecting & deploying machine learning systems & algorithms to production; designing & executing experiments, collecting & analyzing data to characterize product & marketing; analyzing wide variety of data: structured & unstructured, observational & experimental.
Master's degree in Computer, Data Science, Machine Learning, Applied Math, Statistics, Robotics, AI engineering or directly related field. Must have 1 year of prior work experience in the position offered or related. Must know (through academic training or work experience) utilize NLU & Machine Learning techniques to analyze, process, & interpret large sets of textual data; analyze, manipulate, or process large sets of data using statistical software; implement feature selection algorithms in the development & optimization of NLU models that predict key outcomes, such as customer engagement, user attrition, & system response; apply feature selection algorithms to models predicting outcomes of interest; test, validate, & reformulating models to ensure accurate prediction of outcomes of interest; clean, pre-process, & manipulate raw textual data using NLU tools & techniques; extract, clean & sample data using SCOPE, Cosmos & Azure blob storage; build a proof of concept using TLC, Azure Machine Learning / Azure Synapse Analytics; run A/B tests & analyze the experiment results; define & monitor metrics using Power BI & set guard rails to avoid obvious feature flaws; machine learning techniques & NLP; create & drive technical & impactful roadmaps for the business, & lead seamless execution.
May work from home anywhere in the continental US. Actual offered salaries will vary & be based on various factors, such as calibrated job level, qualifications, skills, competencies & proficiency for the role.
EEO.
To apply (Ref#415021), visit https://tinyurl.com/d6wwcar5
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