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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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The successful candidate will serve as a Data Analyst for the Climate and Energy and Air Quality Team and will work with a staff team and a network of stakeholders, including elected officials, state and local government staff, utility representatives, non-profit organizations, and businesses to advance COG’s climate change, energy, and air quality initiatives.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, geospatial analytics, machine learning, and artificial intelligence.
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Experience with creating benchmark datasets and Python packages to facilitate data science objectives. Master’s degree in Engineering, Computer Science, or Data Science.
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Experience with developing and testing AI and ML models for low size, weight, and power (SWAP) and small form factor edge devices, including Qualcomm Snapdragon, Nvidia Jetson Xavier and Orin, or Raspberry Pi.
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Use quantitative and data science skills, collect, manage, analyze, and assess data of multiple types and sources related to CINQCARE ACOs and value-based care initiatives. Support the transformation of raw data into valuable and meaningful insights in the form of appealing dashboards and reports via both Power BI and advanced Excel applications (e.g., levering external PowerShell scripts.
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Technical Skills:Proficiency in object-oriented programming languages such as Python and Java and/or experience with computational analysis tools like R and MATLAB.Familiarity with data science libraries such as scikit-learn, PyTorch, keras.
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Extracting and aggregating data from large data sets using SQL/Hive or Spark;Analyzing large data sets using Python, R, SQL and/or Spark;Generating and visualizing data-based insights in Tableau or Power BIMicrosoft Office software such as Word, Excel, PowerPoint and Teams;Jupyter notebooks, Python, or SAS;Data mining and statistical modelingAdditional InformationWorksite: Washington, DCThis is a hybrid position.
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Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required.
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As a Generative Artificial Intelligence (GenAI) engineer, you understand how to harness the power of emerging large language model (LLM) and GenAI tools to build solutions that enable clients to take advantage of their data and offer new solutions to customers.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Foundational abilities with data visualization/business intelligence tools such as Power BI, Tableau, and Qlik. Data Science, Data Analytics, Artificial Intelligence, Machine Learning.
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Data visualization experience in Tableau, Power BI, D3, ArcGIS, or similar is a plus. Expertise in conducting data science in sensitive contexts and applying best technical practices in data privacy, anonymization, and data protection.
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data science power jobs in Arlington, VA
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