| Sr. Data Science || Ashburn, VA (Hybrid) || Locals Only at Ashburn, Georgia, USA |
| Email: [email protected] |
| From: Mounika, Anveta Inc [email protected] Reply to: [email protected] Title: Sr. Data Science Location: Ashburn, VA (Hybrid) Duration: 6+ Months Job Description: Looking for 10+ years of Data Science consultant with Python experience. Providing technical leadership and identifying solutions for complex problems. Understand how to design and build a deployable application that uses any ML model that they design and recommend Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks. Perform proof of concepts, identify initial data wrangling, and then provide guidance for development of the productized version of the capabilities. Advanced analytical and problem-solving abilities. Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods. Identify innovative solutions that apply data science, AI/ML technology to the problem so that a development team can then take that and build an application that leverages the DS approaches. Must have strong DS design knowledge and experience in some ML/Ops/DevOps Proficiency in programming for data analysis; ideally Python (or R) and SQL. Knowledge of Pandas is essential. Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries. Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) Or Tableau. Familiarity with software version control with git. Strong work ethic and intellectual curiosity. Knowledge of Cloud technologies such as AWS or Google Knowledge of relational databases such as My SQL and BigQuery. Team player with excellent communication and problem-solving skills. Experience working across varying business and technical functional units. Keywords: artificial intelligence machine learning rlang information technology Virginia |
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| Wed Sep 27 19:34:00 UTC 2023 |