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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Build and maintain familiarity with Otsuka data engineering tech stack including Python, PySpark, SQL, and Snowflake. By designing and implementing efficient and reliable data systems, the data engineer will help Otsuka make data-driven decisions that inform customer engagement.
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Any database development experience with Oracle, SQL Server, PostgreSQL, etc. Hands-on experience with backend ETL for data extraction & building data model, including scripting and data source integration.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@libertyjobs.com.
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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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Solid understanding of databases and query engines such as Postgres, Elasticsearch, Redshift, Athena, and Aurora, including distributed database design, SQL vs. Although your role will involve a diverse set of data-related responsibilities, your expertise will be on architecture and data enhancements in the field of Development and Clinical data, particularly implementing hyperautomation with tools like intelligent document processing and robotic process automation.
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Knowledge of research applications used in the conduct of health services research including SAS, R, Python, SQL, Tableau plus - Strong consulting and influencing skills and proven capabilities in senior stakeholder engagement and matrix team leadership.
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Proficiency in tools such as Python, R, SQL, and data analysis and visualization platforms. Convey complex data, research, and concepts into clear storytelling of action-oriented insights.
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Knowledge of analytics tools such as Python, R, SQL, Adobe Analytics, Mixpanel, or similar website performance analysis in user behavior is a plus as well as experience with marketing technology and tools (Google Analytics, AEM, SFMC, DSP, CDP, etc.
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Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms.
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Roll-out compliance communication and training actions for management and/or employees, including in the areas of customer due diligence, code of conduct, data protection, international sanctions, money laundering, anti-corruption, and fraud.
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The ideal candidate will have a strong background in data engineering, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and expertise in implementing and optimizing data pipelines using Databricks.
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Develop a comprehensive data privacy strategy for NRG Energy and its various businesses and brands (including Vivint, Reliant, Direct Energy), including monitoring strategy and risk assessments.
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Support specialized scientific software such as LabVIEW, TeX/LaTeX, Solidworks, Mathematica, Matlab, Git, Access, SQL and other relational databases. When provided access to personal, proprietary and/or otherwise confidential data, maintain information in the strictest of confidence and follow procedure to ensure the privacy, security and.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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