| Data Scientist || North Chicago, IL (Hybrid) || No H1b at Chicago, Illinois, USA |
| Email: [email protected] |
| From: Vaibhav, Winorbit technology [email protected] Reply to: [email protected] Job Title: Data Scientist Location: North Chicago, IL Onsite - J41 (Candidates must be local or RELO) Type: Contract No H1/CPT Job Description: ** work a minimum of 3 days onsite/ 2 days remote in Lake County at J41. This position would act as an advisor to executive and management level decision makers. This individual would provide end-to-end guidance on deployment of machine learning models including data governance and industry best practices with a lens towards agility and efficiency, leveraging a) data science and statistical methods, b) programming languages such as R, python, Spark, SAS, c) libraries such as TensorFlow, Pytorch etc. d) technology capabilities such as containers and orchestration (Docker, Kubernetes) in on-prem, cloud and hybrid infrastructures. Responsibilities: Consult with internal and external stakeholders to determine how best to apply descriptive analysis and/or statistical learning to support business objectives across AbbVies use cases. Demonstrate a thorough understanding of concepts related to statistical methods, language and image processing and operations research and how to use them for solving real world problems. Apply linear models, machine learning algorithms, times series forecasting, and modern optimization methods (i.e. metaheuristics) to understand and/or predict events impacting various business operations. Understand the guidelines needed to build credible and efficient simulation models used to inform the decision-making process. Collaborate with subject matter experts and data engineers to deploy advanced analytic solutions into the operational environments. Adhere to agile project management frameworks and set the direction of data science initiatives Qualifications: Masters or Bachelors in quantitative discipline and 5+ years (e.g. applied math, operation research, computer science, etc.) Practical experience with times series forecasting, monte carlo analysis, spatial analysis, and/or machine learning (random forest, neural nets, SVM, etc.) Familiarity and use with public datasets such as Clinicaltrials.gov, imagenet, COCO etc. Familiarity with Machine Learning solution offerings/operationalize from cloud providers such as AWS (ex. Sagemaker), Azure, GCP. Familiarity with the concepts of container-based machine learning models, automation and operations. Familiarity with language models (SpaCy, NLTK, Stanford NLP) and using them to operationalize and enhance chatbot user experience. Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment. SQL skillset is strongly desired. Proficiency in R/Python; familiarity with libraries such as Tensorflow, caf, Pytorch etc. Practiced in exploratory data analysis (EDA) and manipulating large data sets What is a nice to have Previous exposure to building ML Models Lifesciences, healthcare analytics background preferred. Knowledge of Java/Scala/Apache Spark is a bonus Thanks and Regards Vaibhav Phone: +1 831-731-8629 Email: [email protected] Keywords: cprogramm machine learning rlang Illinois |
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| Sat Jan 21 02:33:00 UTC 2023 |