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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. Undergraduate degree in computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, or other fields, or equivalent experience.
$181,200 - $249,150 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Create, Modify and deploying code libraries, accelerators (GitHub) programming languages such as Python, R. Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification, tracking, etc.
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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The ideal candidate will have strong knowledge of SQL, Python, R, Snowflake, and Amazon Web Services (AWS). Knowledge of technologies such as SQL, Python, Snowflake, Tableau, and QuickSight for BI platforms.
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Create scripts using Python, R, SQL, Arcade, VisQL, M, Power Query, DAX, and common geographic information system (GIS) programming languages. Must have experience with: Python, R Studio, Microsoft Power BI.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas, MATLAB, etc.) Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas, MATLAB, etc.
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Must have extensive experience writing scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, hypothesis testing, and knowledge capture.
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Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python Numpy, Pandas, and keras (tensorflow or pytorch is a plus.
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Knowledge of programming languages like SQL, Python, R, or Scala. ERM is seeking a Senior Methane Emissions Specialist / Data Scientist to join its Geospatial and Climate Solutions team, based in Washington, DC. The Methane Emissions Specialist / Data Scientist will work alongside specialists in climate science, data science, and geospatial analysis to help develop efficient workflows and tools for our quickly growing portfolio of work as well as strategies to directly measure methane emissions.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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C#, Python, R, Java, SQL, Visual Basic, SAS, MatLab, Mathematica, Stata, NetLogo, Octave, Anaconda, Keras, TensorFlow, Hadoop, BigML, Pandas, Tableau, Sigma JS, MS Visio) is required. C#, Python, R, Java, SQL, Visual Basic, SAS, MatLab, Mathematica, Stata, NetLogo, Octave, Anaconda, Keras, TensorFlow, Hadoop, BigML, Pandas, Tableau, Sigma JS, MS Visio) is required.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Lead projects/teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Stata, SAS, R, Python.
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Standardization processes for extracting/blending data from data warehouse into visualization and analytics software like Tableau, PowerBI, Python, R, etc. Minimum three (3) years of professional experience in the technology and/or data science field, with at least two (2) of those years as proven work experience in a data analyst role, working autonomously with advanced analytics software; including direct experience programming for data analysis and management; ideally, Python, SQL, and/or R.
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Experience with statistical analysis software (SAS, R, Python, etc. Strong Life Sciences R&ED Data Information Architecture Development – Functional and Technical experience. Experience with statistical analysis software (SAS, R, Python, etc.
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Knowledge of basic data analytics of scripting languages (Python, R, or similar); experience with AWS features (S3, Redshift) is a plus. Conducting LCAs including research, data collection, modeling, data analysis, data visualization, and reporting to quantify environmental impacts of our data centers and cloud computing services.
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Statistical analysis of national security data (with proficiency in R, Stata, Python, SAS or other statistical analysis software) MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields.
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