!!REMOTE!! Data Analyst Application Engineer (USC OR GC ONLY) at Remote, Remote, USA |
Email: [email protected] |
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=73153&uid= From: Abhi Sharma, Swastik IT Services [email protected] Reply to: [email protected] Location: 100% remote from anywhere in the US (must be willing to work East Coast hours Duration: 18 months+ Mode of Interview: MS Teams Video Start Date: ASAP Notes: The candidate would be submitted for a public trust clearance through Census once chosen for the job. This could take a couple of weeks to clear. CANDIDATE MUST BE A CITIZEN!!!!!!! Data Analyst Application Engineer Years of Experience: 4 years Education Requirements: A Bachelors Degree in computer science, electronics engineering, or other engineering or technical discipline is required. Position Description: Join us to support the survey research activities by providing data science and ML products using data wrangling, data mining, machine learning methods for predictive models, and NLP's such as text mining and modeling, web scraping, and data visualization with a goal to enhance the effectiveness and quality of analyzing surveys. Responsibilities: Assist with design, and implement ML and data mining algorithms and enact methods to continuously improve models. Develop/assist in NLP technologies such as Text Classification, Tokenization, Text Mining and Named Entity Recognition. Perform R&D and exploratory analysis using statistical techniques and ML clustering methods to understand data. Write and implement custom code for web scraping, text mining, data ingestion and record linkage. Collaborate with client team. Utilize clear communication and problem-solving abilities. Required Skills: 4+ years of experience and strong proficiency in Python and at least one of the following programming languages (SAS or R) A strong foundation and experience in diverse statistical and data mining techniques such as GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM and Text mining Expertise in statistics and in predictive modeling techniques Experience in predictive modeling, data standardization, high-dimensional data modeling Familiarity with git and GitHub Experience working with large data sets in distributed storage and big data computing technology such as AWS/Cloud Environments, Hadoop, Hive and PySpark Experience conducting data exploration and pre-processing with unstandardized datasets Familiarity with web scraping tools in Python (e.g. Scrapy, Selenium) Experience implementing and training classical machine learning models with packages in Python (e.g. scikit-learn, Keras) Experience evaluating machine learning models with multiple metrics Experience in text mining and analytics Experience with classical machine learning or deep learning models for natural language processing Experience with NLP techniques, such as Pre-processing (tokenization, parsing, stemming), word representations (TF-IDF, Document Classification and Clustering, Entity Recognition, N-grams and word2vec) Ability to contribute to technical reports to document work Training & Certifications : Advanced coding skills in Python, SAS, R and Scala Hands on experience with Agile projects Strong technical writing skills Excellent communication skills Ability to work in a team environment Thanks. "Have a nice day" Abhi. Talent Acquisition Manager- Lead Email:- [email protected] LINKED IN: linkedin.com/in/abhi-vashisht-90ba071b6 Swastik IT Services 61 Snowberry Ridge CT O'Fallon MO. 63366 DISCLAIMER: This e-mail contains CONFIDENTIAL INFORMATION intended solely for the use of the recipient. If you are not the intended person, please notify me by reply REMOVE in the subject line. I will revise my list again. Apologies for inconvenience. http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=73153&uid= |
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04:11 AM 20-Oct-22 |