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Data platform evaluation: Evaluating and recommending the most appropriate technology platforms and tools to support company data management and analysis, such as Modern Data Warehouse, Data Lakehouse, data search engines, analytics tools, considering factors like reliability, scalability, security, and cost.
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If you are a self-driven, results-oriented data scientist with a passion for advertising technology, encompassing both product and display ads, we invite you to join our team. Analyze complex data sets to extract actionable insights and provide recommendations to shape the advertising technology roadmap for both product and display ads.
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Senior Data Scientist - Advertising Technology (AdTech) Collaborate closely with the ads business, engineering, and data teams to deploy data-driven solutions using cloud-based technologies such as Snowflake, Databricks, and Azure.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers.
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Proactively seek input from team members across different disciplines to enhance the quality and effectiveness of data solutions, recognizing that diverse perspectives lead to better outcomes.
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Ideally 5+ years of hands-on design and development experience in several of the relevant technology areas (GitLab, Terraform, Azure, ADO, Azure Data Lake, Azure Kubernetes Service, Spark, Databricks etc.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions. Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Solid experience in at least one of the following areas: computer vision, machine learning, NLP, data mining, or pattern recognition. Job title: Machine Learning Engineer Intern (Data-TnS-Algo) 2024 Summer (MS.
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Co-Design data governance, data quality, and master data management processes and workflows supported by technology and innovation to operationalize data governance, data quality and overall risk mitigation.
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data job Title: technology lead Company: Change Healthcare
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