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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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Amica has been recognized with the Guidewire Innovation Award and the MicroStrategy Innovation Award for our work in Data & Analytics. Bachelor's or master's degree in data science, computer science, operations research, statistics, applied mathematics, or a related quantitative field and 3+ years of work experience in building machine learning models or PhD in a related quantitative field.
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In collaboration with the Chief Information Officer, Chief Information Security Officer, Chief Artificial Intelligence Officer, Senior Level professionals in analytics and AI, and other stakeholders, the CDO works to improve Agency processes based on insights derived from available data and effectively communicates the value and importance of data to executives and staff.
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Any of the certifications in data management like Certified Data Management Professional (CDMP) / Certified Information Data Management (CIDM) / Certified Data Governance Professional (CDGP) / Certified Data Quality Professional (CDQP) / Certified Master Data Management Professional (C/MDMP) / AWS Certified Data Analyst / Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer.
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Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the CDO to a data engineer or data analyst. Support the acceleration of identity management capabilities working within a cyber engineering support team: Serves as the point person responsible for managing cyber, digital, data, and analytics teams in understanding data ecosystems, including data infrastructure, pipeline development/maintenance, quality, governance, literacy and culture, to support the enterprise cyber functions.
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As a Data Solutions Engineer, you'll design and implement complex IT systems and solutions. Significant experience dealing with open-source, publicly available information (PAI) data sources and/or forensic media (i.e., DOMEX.
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Demonstrated experience in conducting data research and development to integrate emerging technologies and techniques in data science and analysis such as analytics, machine learning, and cloud computing into organizational decision support systems and processes focused on transportation safety.
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Working experience in large financial institutions or Fintech companies with detailed understanding of the application of advanced data analytics and AI technologies and thorough knowledge and understanding of current emerging technologies including Artificial Intelligence and Robotic Process Automation technologies, Data Visualization software, data lakes and data warehouses, and Data Analytics software.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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In this newly established leadership role within our Product team, Get Well is seeking a VP, Data & Analytics who will be responsible for leading the data strategy across our portfolio of products.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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As a part of a data analytics and support services team, the Data Analyst will support efforts providing data science, architect, and data analytics support that includes analyzing, verifying, designing, refining, modernizing, and maintaining the data model and component views within various client systems.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Skills in Java, Python/Django, Java Script, CSS, Ruby, HTML5, and Oracle or Postgres SQL.Non SQL database management experience, preferably in Mongo DB or Cassandra with the ability to share, define schema, etc., as well as supported tools like Node JS and Angular JSStrong grasp of computer science principles, such as data structures and algorithms.
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Title: data Company: Edf Renewables North America in Bethesda, MD
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