| Tomorrow Interview || Data Scientist || Bentonville, AR (Day one hybrid) at Bentonville, Arkansas, USA |
| Email: [email protected] |
| From: Rahul Kumar, SPAR Information Systems [email protected] Reply to: [email protected] Hello Folks, Hope you all are doing good. Please go through the Job description and let me know your interest. Title: Data Scientist Work Location: Bentonville, AR (Day one hybrid) Duration: Long Term Contract Skills: AI/Machine Learning Machine Learning,Hadoop,Hive,Gcp Job Description: Exp 8+ year 5+ years in AI/ Data Science/ Machine Learning where the candidate has successfully identified business scope, created the Model POC, ran it in test environment, implemented in production environment and optimised model performance - which is a complete model management lifecycle Experience working on identifying data ingestion and transformation needs, exploration of the data and reporting findings, modelling Machine learning (ML) expertise to research and recommend the best approaches to provide technology and business solutions by utilizing statistical/ mathematical methods (classification, time-series analysis, regression, statistical inference, ) or deep learning techniques. Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns. 2+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B test Strong experience 5+ on R and Python programing is must Experience in Python Simulation and Data modelling is must Utilize a diverse array of technologies, tools and cloud services as needed, to deliver insights, such as Microsoft Azure, GCP or AWSupply chain domain knowledge is an advantage Strong experience on Design and Algorithms R/ MATLAB is critical CICD experience Experience working with huge datasets, SQL/NO SQL exposure ML experience with Hadoop/Hive/Spark Any Cloud stack (preferably GCP) Supply chain domain knowledge is an advantage Contact: Rahul Kumar Sr Technical Recruiter Direct No: 469-829-4899 / Desk No: 469-409-0307 Ext: 338 Cell No: 936-304-8292 Email: [email protected] Keywords: artificial intelligence machine learning rlang information technology golang Arkansas |
| [email protected] View all |
| Mon Feb 27 21:29:00 UTC 2023 |