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Master in Computer Science Budget Management experience Prior pharmaceutical or biotech data and analytics experiences with familiarity of commercial data sets and processes Additional Languages: R, Javascript Understanding of additional AWS services (i.e. Glue, Athena, etc.
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In order to construct a robust, accurate, 360-view data environment that is unique to each client Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Build and maintain a suite of in-house software tools and data pipelines for energy market analysis using R, Python, SQL, and/or other programming languages. REQUIRED QUALIFICATIONS Bachelor of Science in Electrical Engineering (Power Systems), Quantitative Finance, Computer Science, Data Science, Operations Research, Economics, Math, or other quantitative fields of study.
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Technical Requirements:Familiarity with programming languages (e.g., Python, R, SQL Queries, PowerShell, etc.) Familiarity with data analytics & automation tools (e.g., Tableau, Alteryx, PowerBI, PowerPlatform, etc.
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Proficiency in programming languages such as R, Python, or SAS, and experience with AI and ML techniques for predictive modeling and data analysis. 7+ years of experience in quantitative modeling, risk analytics, data science or related field, with a strong background in credit risk modeling, CECL, and stress testing.
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Data Science Analyst (Senior) | 6-8 Years | Data Science - Python, Data Modeling. - A working understanding of code and scripting languages such as: Python, Ruby, Perl, Shell scripting.
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Partners with business lines to leverage data and analytics to provide insights, drive growth, enhance profitability, and optimize business processes. The successful candidate will utilize quantitative and qualitative modeling techniques, statistical analyses, and various analytics tools to provide actionable information to aid in decision making.
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Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Azure App Insights, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Proficiency in SQL, Python, R, or other data science languages, with deep knowledge of data modeling, ETL, and data pipeline automation. Up-to-date knowledge of cloud data services (Snowflake, Azure, Google Cloud) and current best practices in BI, AI, and analytics.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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Expertise in Python, PyTorch, and open-source data processing and visualization packages, collaborative development skills using readable, reproducible, efficient code and version control systems (e.g. Git), familiarity with Unix shell and use of virtualized working environments (e.g. Docker.
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Statistical Software experience (PYTHON, R, MATLAB, SAS, etc.) BA/BS degree in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or equivalent quantitative field.
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Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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data science predictive analytics analyst python r jobs Company: Cvs Pharmacy
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