Hiring Organization: Pepsico
Post Name: eCommerce Senior Data Scientist
Qualification: Graduate
Industry: Private
Employment Type: Full Time
Work Hours: 8 Hours
Salary: $20 – $30/Hour
Location: Arizona, USA
Develop business-available information science stages and discrete apparatuses close by a light-footed group of information researchers, information architects, and programmers. Conceptualize and deal with investigation and demonstrating arrangements cross-practically to distinguish tweaked, long haul, and economical arrangements. Foster perfect, tried, adaptable, and creation grade AI code by utilizing computer programming approaches to work with cooperation and smooth out information move with other specialized groups. Own start to finish AI pipelines. Configuration, create, and iteratively further develop apparatuses to work with revealing and mechanize information obtaining and examination. Adjust to represent changes and have the option to propose elective methodologies. Work with the bigger information science group on the investigation of enormous informational indexes to reveal patterns, examples, and experiences. Work straightforwardly with business partners to distinguish functional trouble spots and plan adaptable and mechanized innovation arrangements. Extend PepsiCo's specialized capacities and help to cultivate an information driven culture. Cooperate with other investigation pioneers to all around the world encourage more noteworthy insightful abilities. Coach junior colleagues and add to a culture where everybody is esteemed.
Working from home allowed: work might be performed inside the ordinary driving separation from this PepsiCo, Inc. office.
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Position requires a Graduate degree (U.S. or then again unfamiliar same) in Software engineering, Information Science, Information Examination, Tasks Exploration, or related field. Should have working information on the accompanying abilities acquired through coursework or experience: Python programming and AI libraries including scikit-learn, Git, shell script, and SQL; Scala or PySpark; Direct Polynomial math, Measurements, Probabilities, Numerical programming, and Improvements; start to finish information science issues, including taking care of enormous scope information with best practices and handling huge and limited scope information; AWS, Purplish blue, Databricks, Google Cloud Stage, and Snowflake information science, and AI administrations; Non-underlying information examinations and high level demonstrating including text mining and picture handling; profound learning structures including TensorFlow, Keras, and PyTorch; on time series investigation and oddity discovery; conveying and overseeing creation grade Large Information frameworks; tutoring junior information researchers; web rejecting and AI model arrangement.
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