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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Implementation shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
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Hands-on production experience with orchestration systems such as Airflow. Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization.
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Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling. Proficiency in Python, R, SQL, and SAS. This individual will support the development of AI solutions and work closely with our senior data scientists to create and deploy machine learning models, focusing on Generative AI and NLP technologies.
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The ideal candidate will have extensive experience in Python Data warehouse TOSCA DI Test Automation Oracle SQL and ETL Validation. Have hands-on experience with TOSCA DI for test automation.
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Data Visualization : Hands-on experience with tools like Tableau, Power BI, or Looker for creating insightful dashboards and reports. Programming Skills : Experience with programming languages such as Python, R, or Scala for data manipulation and analysis.
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Data science, machine learning, optimization models, PhD 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) Primary Location.
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Hands-on production environment experience with distributed processing systems such as Spark. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Provides hands-on technical knowledge & leadership working with database developers, DBAs, architects, data quality analysts, and other teams as well as manages relationships within context of the individual role.
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Hands-on experience with Big Data technologies like Hadoop, Spark; and experience working with query engines like Presto, BigQuery or other open source big data query & ETL engines.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query). ● Build tools and services to support data discovery, lineage, governance, and privacy.
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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. Infrastructure Operations: Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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big data hands on r python jobs Company: Synchrony Financial
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