| Data Scientist - Hybrid, Woodlawn, MD - NO H1B at Woodlawn, Virginia, USA |
| Email: [email protected] |
| From: jyoti, kpg99 [email protected] Reply to: [email protected] Data Scientist Location- Selected candidates must reside within two (2) hours of Woodlawn, MD and must be willing to work on-site at least 2 days a week. Visa- No H1B/OPT/CPT Note--Please make sure, resume has first and last name, address, phone number and email Key Required Skills: Strong knowledge of R, Python, SAS, Gen AI and Machine Learning. Position Description: Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution. Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem. Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems. Provide accurate, timely, complex and sophisticated data analysis. Determine and employ the most appropriate research design for data collection and analysis. Analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports. Skills Requirements: FOUNDATION FOR SUCCESS (Basic Qualifications) Bachelor 's degree in Statistics, Applied Mathematics, Computer Science, or Information Science Minimum 8 Year (s) of Data Scientist experience Must be able to obtain and maintain a Public Trust. Contract requirement. FACTORS TO HELP YOU SHINE (Required Skills) These skills will help you succeed in this position: Expert-level experience working with real world data sets in predictive modelling using scripting languages such as Python, SAS and R. Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2. Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models. Ability to clean and process large amounts of real-world data. Experience retrieving and manipulating data from a variety of data sources included Db2, Oracle, SQL Server, Hadoop and flat files. Experience with database management systems, e.g., MySQL, SQLite, SQL, etc. Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive. Excellent analytical skills to identify potential risks and propose effective solutions. Clear communication skills to convey complex technical concepts to various partners. Ability to collaborate with cross-functional teams. Providing problem solving skills, proven communication in written and verbal formats to various audiences to include executive leadership. HOW TO STAND OUT FROM THE CROWD (Desired Skills) Showcase your knowledge of modern development through the following experience or skills: Prior experience with federal or state governments IT projects. Prior experience working on applications that help identify fraudulent activities (Anti-Fraud) in government or larger private organizations. Experience working in an analytical research environment. Experience with statistical and machine learning software such as pandas and scikit-learn. Experience in parallel processing such as GPU programming with CUDA Mathematica Experience using markup languages such as LaTeX, HTML, etc. Natural Language Processing for anomaly detection Education: Bachelor 's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with a minimum of 12+ years of experience Must be able to obtain and maintain a Public Trust. Contract requirement. Keywords: artificial intelligence machine learning rlang information technology Maryland Data Scientist - Hybrid, Woodlawn, MD - NO H1B [email protected] |
| [email protected] View all |
| Tue Jul 16 19:26:00 UTC 2024 |