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 Lead AI Scientist - Pittsburgh, Pennsylvania, United States

Job information
Posted by: Target Enterprise, Inc. 
Hiring entity type: Other 
Work authorization: Existing work authorization required for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Science
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: YKLY6hKeM3JfBIzR1ezqO0sI0aEcrw / Latpro-3806391 
Date posted: Jul-18-2021
State, Zip: Pennsylvania, 15222


Target Enterprise, Inc. is seeking a full-time Lead AI Scientist at our offices in Pittsburgh, PA. The Lead AI Scientist is responsible for making the multi-channel shopping experience as simple, secure and enjoyable as a visit to the local Target store. This position requires a Masters degree or equivalent in Quantitative Finance, Advanced Statistics, or a related field and 2 years of related experience. Must also have 24 months of experience (which may have been gained concurrently) with each of the following: (1) implementing numerical tests along with providing a clear overview of pros and cons of different methodologies; and (2) designing, developing, testing and implementing various automation models and frameworks on real-time systems. Must also have experience with the following: (1) Natural Language Processing based on deep neural network architectures (CNN, LSTM, Bi-GRUs), attention networks and dynamic memory networks as well as implementing hyperparameter optimization techniques including Batch normalization, Dropouts, Gradient checking and weight initialization algorithms; (2) configuring and implementing Natural Language Processing and Natural Language Generation algorithms, Latent-Dirichlet Analysis, Topic Modeling, and search relevance on large scale datasets; (3) designing large scale models using Logistic Regression, Linear Models Family (including Poisson models, Survival models, Hierarchical models, and Nave-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models, and Support Vector Machines; and (4) leveraging existing textual news analytics (NLP) to improve model calibration specifically on liquidity analysis and high frequency real time textual data. Will accept experience gained before, during or after Masters program. Position includes a telecommute benefit within commuting distance to a Pittsburgh-area Target office, as directed. Please apply online at
recblid 3v6p44jiapwu5k32j2qxz3h1fazkh1




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