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Bachelors degree (Masters preferred) in Computer Science, Math, Engineering, Science, Business, or a related field with documented coursework in statistics or business analyticsExperience with statistical and machine learning algorithms (e.g., regression, classification and/or clustering)Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze dataExpert knowledge of Query languages (e.g., SQL, U-SQL, etc.
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Proficient with statistical software packages, such as Python, R, or SAS. Experience with Snowflake or Azure Databricks. Proficient with statistical software packages, such as Python, R, or SAS.
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Proficiency in Python, Visual Basic, Matlab, R and SQL or other analytical tools is strongly desired. This role is based in downtown Houston and they work on a hybrid model. Solid experience with report building and visualization tools: Power BI, Tableau, etc.
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Familiarity with research tools such as ABB-Ventyx Energy Velocity, SNL, and Bloomberg Familiarity with modeling languages such as Python, R, or Matlab. Familiarity with research tools such as ABB-Ventyx Energy Velocity, SNL, and Bloomberg Familiarity with modeling languages such as Python, R, or Matlab.
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Skills in data analysis, advanced Excel, VBA, PowerPoint, and SQL. Experience with Python, R, MATLAB, C/C#/C. Strong understanding and knowledge of the LMP-based wholesale power market with PJM (preferred), ISO-NE, NYISO, MISO. Experience with power trading, power generation, hedge strategy development for natural gas-fired generation assets, and natural gas markets Proficient knowledge of commodity risk management analysis.
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Proficiency in SQL, R, Python, HTML, CSS, JavaScript, and mapping languages. - Programming Language: Python. Proficiency in SQL, R, Python, HTML, CSS, JavaScript, and mapping languages.
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And programming languages (Python, R). In-depth knowledge of machine learning algorithms (deep learning, natural language processing, computer vision, etc. Experience with cloud platforms (AWS, Azure, GCP) and/or on-premises infrastructure for AI deployments (a plus.
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You recognize that a simple approach can be the best approach, but also have applied experience with statistics/econometric modeling, perhaps with tools like Stata, R, or SPSS. Python toolkits you may have used recently include statsmodels, Prophet, or sktime.
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R Posted byRecruiterAre you a seasoned Python developer with a passion for creating innovative tools and workflows? Design robust Python APIs to boost research productivity. Define and maintain a Python research environment tailored for data-intensive workloads.
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Experience with programming languages such as Python, LabVIEW is a plus. As a member of the R&D Lab team you will share in our vision of dramatically impacting the quality of all Bray products through safe, efficient, and accurate validation and analysis for an increasing number of internal and external customers.
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Familiarity with scripting languages and statistical packages ( Python, SAS, R, or similar ) Demonstrated ability to use data visualization platforms such as Power BI or Tableau. Familiarity with scripting languages and statistical packages ( Python, SAS, R, or similar.
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Proficiency in data analysis tools and programming languages, like SQL, R, Python, SAS or DAX. Proficiency in data analysis tools and programming languages, like SQL, R, Python, SAS or DAX.
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Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS) Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS.
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Experience coding in Python, R, Matlab, Java or other modern programming languages. Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar and deep learning (e.g., CNN, RNN, LSTM.
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Intermediate programming skills with one or more of the following: VBA, R, Python. Intermediate programming skills with one or more of the following: VBA, R, Python. Bachelor and masters degrees in mathematics, computational science, engineering, finance, economics, or accounting.
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