| Lead Data Scientist ||USC, GC, H4EAD at Remote, Remote, USA |
| Email: [email protected] |
| From: gaurav kumar, Largeton INC [email protected] Reply to: [email protected] JOB DESCRIPTION: Job Title: Lead Data Scientist Location: Hybrid Only USC, GC, H4EAD Duration: TBD Contract/Perm: Contract Job Responsibilities: Hybrid role. Candidate should be in one of these locations :: Boston, Chicago, New York, Dallas, Toronto, Montreal Please mention bellow current location with DL and VISA status. You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries Thanks and Regards, Gaurav Kumar Technical Recruiter Largeton.inc Ph no: +1 (571)-463-9097 Ext. 345 Email: [email protected] Keywords: machine learning green card Lead Data Scientist ||USC, GC, H4EAD [email protected] |
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| Sat Nov 16 02:00:00 UTC 2024 |