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Experience must include 6 months in each of the following: Tableau; Python (Jupyter Notebooks, Spyder); Python libraries: Pandas, Matplotlib, GeoPands, Shapely; EXCEL VBA; QGIS (Geographic Information System); Power BI; machine learning techniques (including exploration data analysis, sampling, decision trees, clustering, random forest, logistic regression; and SAS language (Base/Macro.
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Use data science and machine learning principles to develop effective predictive models using 3D data. 5+ years of experience with machine learning, statistical modeling, and optimization techniques.
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Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure. Strong software development skills in languages such as Python, SQL, R, Scala, Java.
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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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Deliver software features including full stack software development, machine learning, Artificial Intelligence, scripting and optimizing databases. Experience must include 6 months in each of the following: software testing; MySQL; Oracle SQL; Linux; Java; J2EE; JavaScript; ClearCase; Struts; Spring Boot; Python; HTML; and CSS.
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Converting unstructured or semi-structured data into structured datasets using natural language processing, machine learning, and other extraction tools. As a Senior Data Scientist, you will apply advanced statistical models, machine learning techniques, and big data analytics to solve complex problems in medical science, aiding in the development of groundbreaking treatments and healthcare solutions.
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Experience working in a machine learning environment is a plus. The ideal candidate will be highly skilled in data analysis, SQL, and AWS, with a strong ability to communicate complex findings clearly and effectively.
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Experience with generative AI, natural language processing, and/or machine learning methods. They will perform data cleaning and automated scripts, analyze textual and numerical data, and may utilize various tools to deploy generative AI, natural language processing, and machine learning workflows.
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Programming proficiency in Python, SQL, and version control (git) software. The Medicaid Data Scientist may work on-site in Abt’s offices in any of Atlanta, GA, Cambridge, MA, Durham, NC, or Rockville, MD in a hybrid remote/in-person status, or full-time remote from within the US.
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Experience in advanced analytics using machine learning, data mining, and natural language processing, preferred. Maintains and continuously develops critical skills by attending training programs, associated conferences, and continued education in advanced analytics, software development, cloud computing, and machine learning.
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Maintain essential skills by attending training programs, associated conferences, and continued education in advanced analytics, software development, artificial intelligence, and machine learning.
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Strong knowledge in at least one of the following programming languages: Python, R, SQL, or SCALA. Strong knowledge in at least one of the following programming languages: Python, R, SQL, or SCALA.
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Design and deploy a machine learning causal marketing attribution model; create pipeline to automate data extraction, statistical modelling, and reporting of non-randomized marketing campaigns, build and deploy scalable machine learning models using: Spark-SQL, Dask, Scikit learn and XGBoost models using AWS.
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Chief information officer, computer network, css, hadoop, linux, security, sql, unix. Other paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave for federal, state or local primary and general elections, care of a family member leave (available after 90 days of employment); and childbirth and parental leave (available after 90 days of employment.
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