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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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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.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Working knowledge of programming skills in Python, R, or similar languages, with experience in data manipulation, analysis, and modeling libraries (e.g. NumPy, Pandas, scikit-learn, TensorFlow, PyTorch.
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Experience with statistical analysis software/languages (SAS, SQL, Python, & R) in addition to training in statistical modeling, data analysis, MIS, or computer programing. Use quantitative and analytical skills to mine, process, analyze data using SAS, Python, SQL, MS Excel, and other business tools.
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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World-class skills in Data Analytics with advanced analytical languages (Python, R, Spark, Scala, and/or Julia) This includes econometric predictive modeling & analytics and supporting our lease fleet operations.
$200ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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A successful candidate will bring a Master's in Computer Science, Mathematics, Statistics, Economics, Engineering, and 5+ years of experience in hands-on modeling in R or Python, in a supply chain forecasting capacity.
$90,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Work on building either cloud-based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case.
$110,000 - $224,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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SAS Certificate(s), other statistical applications/tools (R or Python), and previous experience with utilizing analytical tools such as SAS Enterprise Guide, SAS Enterprise Miner, SAS Visual Analytics are STRONGLY preferred.
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Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word and PowerPoint. Proficient in at least one of Python, R or SAS. The AVP will also lead and guide the data science team with modeling expertise in forecasting, optimization, data mining, analysis and analyzing complex datasets; lead and guide in the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; and lead and guide in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance.
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Use strong programming skills in SQL, pyspark, Python, R, or any of the major languages to build data pipelines. Basic understanding of mathematical analysis methods, machine learning models, statistical analysis and predictive modeling *Education.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Skilled in data analysis/modeling in Excel/R/Python to answer business questions and assess operational impacts. 5 years experience with 1 or more programming languages (e.g. R and Python.
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Ability to manage/maintain large data sets and process through various software, applications, and programming languages: Excel, PowerBI, PowerQuery, SQL, R, Python, SAS, etc. Evaluating large and complex data sets for the purpose of correlative and causal pattern discovery, trend driver analysis, predictive modeling, and financial forecasting.
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Proficiency in SQL and scripting languages (e.g., Python, R) Strong understanding of data modeling, ETL processes, and data integration techniques. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and database management systems (e.g., MySQL, PostgreSQL.
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Other languages e.g., Python/R/Scala will be helpful. Experience in ETL tools, data warehouse design, data modeling, and visualization. Experience in business analysis or data modeling.
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