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Expertise in common data science toolkits and programming languages, including R, Python (including SciPy, NumPy, and/or PySpark) and/or Scala, Java, SQL, and shell scripting. Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
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Experience with Python, SQL, Spotfire, Power BI, Snowflake, Enverus and/or other business insights and data warehousing applications. We are seeking a skilled and motivated Development Geologist/Geoscientist to be an integral part of the subsurface and planning team, focused on unconventional reservoir development in our newly formed US onshore division.
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Familiarity with one or more Python data visualization libraries (Bokeh, Matplotlib, Seaborn) Familiarity with one or more Python data science and/or statistics libraries (Pytorch, Scikit learn, Statsmodels.
$101,500 - $132,250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data analysis tools and platforms, such as R or Python programming languages for data cleaning and analysis and ArcGIS software for analyzing and mapping geospatial data. Experience working with large environmental datasets and geospatial layers and using programming languages (R, Python, etc.
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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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Familiar with one or more cloud platforms such as AWS, Azure, and Pivotal Cloud Foundry Exposure to Java, Python, or other programming languages Exposure to NoSQL database platforms such as Elasticsearch and Cassandra Experience with ticketing and collaboration management tools such as Zendesk, Jira, and Confluence This position will work in a 2- day per week Hybrid Schedule from the Detroit office.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You must also demonstrate mastery in using common data science tools, including scripted languages (such as R, Python, SQL, and Java Scripts), Integrated Development Environment (IDE) and analytics platforms (such as RStudio, SageMaker, RapidMiner, SAS, and Domino Data Lab), open-source solutions (such as Kibana, Kubernetes, and elastic search), commercial off-the-shelf tools.
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Proficient with common business analytics tools including, but not limited to, SPSS, R, Python, PowerBI and Tableau. + Utilize full functionality of analytical tools including, but not limited to, SPSS, R, Python, Business Intelligence tools, and Microsoft SQL to independently produce and evaluate ad-hoc as well as recurring projects and reports.
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Key Skills: 5+ years; Azure; server management; PowerShell or Python; endpoint or Intune. Proficient in scripting languages, such as PowerShell or Python. Microsoft Certified: M365 Admin certification, Azure Administrator Associate, Azure Solutions Architect Expert, or CompTIA Network.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Strong proficiency in multiple modern programming languages (Python/Django, React/Typescript preferred) Experience with a big data solution (e.g., Databricks, SnowFlake, etc.) Strong proficiency in multiple modern programming languages (Python/Django, React/Typescript preferred.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Science, health information management or public health and the ability to analyze large datasets using R SAS, SQL and Python. Strong, yet flexible retirement benefits including a choice of the PERA Defined Benefit Plan or the PERA Defined Contribution Plan, plus optional 401K and 457 plans.
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Mastery of Excel and SQL, experience with Python/R (or similar), experience with data visualization tools (PowerBI, Tableau, etc) All prospective DOT safety-sensitive employees are subject to pre-employment testing for the following drugs and their metabolites: Marijuana, Cocaine, Amphetamines, Opioids and Phencyclidine (PCP.
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