| Data Scientist ===No H1B or CPT at Waukegan, Illinois, USA |
| Email: [email protected] |
| From: Prakash Singh, RCI [email protected] Reply to: [email protected] Title : Data Scientist Location : onsite 3 days a week Waukegan, IL Duration : 6+ Month 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 (e.g. applied math, operation research, computer science, etc.) Lifesciences, healthcare analytics background preferred. 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. Knowledge of Java/Scala/Apache Spark is a bonus Proficiency in R/Python; familiarity with libraries such as Tensorflow, caf, Pytorch etc. Practiced in exploratory data analysis (EDA) and manipulating large data sets Capable of accessing external data sources through various APIs (e.g. google distance matrix, quandl financial data, etc.) Years of experience/education and/or certifcations required: 7+ years of experience (flexbile on #yrs based on skillsets) What are the top 3-5 skills requirements should this person have Strong knowledge of data science and machine learning Tools used for data science machine learning (RPython, Tytorch, Tensor Flow) Exposure to End to End Mahcine learning projects Good communications and interpersonal skills What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification Previous exposure to building ML Models Keywords: cprogramm machine learning rlang |
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| Tue Jan 10 20:00:00 UTC 2023 |