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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments.
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Proficiency with Excel / VBA and R / Python. Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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High Level of digital literacy, ability to work efficiently with MATLAB, Excel (VBA), SQL, R, Python or C. Knowledge and experience on data science and Machine Learning technics/languages is desired.
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And health interoperability standards (HL7, FHIR, USCDI) preferred Experience working with real-world data sources such as EHR and claims data Familiarity (able to mostly read) with common data analysis tools and platforms (e.g., SQL, Python, R.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog. Develop and optimize big data processing using Spark and PySpark within the Databricks environment.
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Experience w/ predictive maintenance technologies including, but not limited to, vibration analysis, oil analysis, infrared Thermography, ultrasound, and motor current analysis. Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Proficiency in scripting and automation using languages such as PowerShell, Python, or Bash. Experience with data protection technologies, including backups, snapshots, replication, and disaster recovery.
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Expertise in statistical/stimulation/optimization packages such as C#, Python, R, SAS, and STATA. Providing expert judgment in the use and incorporation of analytics, including being well-versed in the analytics industry, best practices, literature, Operations Research, and Emergency Response and Deployment analytics.
$78,721 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Onboard datasets, explore data, and automate tasks using a modern Python data stack. 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline.
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data science predictive analyst python r jobs Company: Cvs Pharmacy in New York, NY
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