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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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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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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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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 may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Proficiency in programming languages and tools such as Python, R, SQL, MATLAB, C. Proficiency using leading software vendors for financial data and fixed income modeling, including Bloomberg, Aladdin, Intex, Trepp, and others.
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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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Must have 1 year of experience in any three of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Podium, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark.
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You will design, develop and automatesecure, robust, and high-performing data platform solutions to driveCAISbusiness growth using Python, Kotlin, Snowflake, DBT and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
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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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Python, R and visualization tools (PowerBI and React) Nice to have - Post-graduate qualifications in computer science, data engineering or related. Works closely with data source owners and Data Science teams to shape and deliver right plans.
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Working knowledge of data visualization tools such as Power BI, Tableau, or Alteryx is preferred. Accounting, finance, treasury, litigation matters and data management. Strong financial analysis and modeling skills with a solid understanding of financial statements and/or financial data management.
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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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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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data science visualization r python jobs Title: science director in New York, NY
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