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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each client Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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This Data Center Facilities Engineer is needed to support Data Center Managers to ensure all facility duties are run to meet TMNA data center standards. This person will also need to build, manage, and maintain MEP monitoring tools utilizing Vertiv Sitescan and/or APC Data Center Expert/IT Advisor for performance, availability, reliability and security of IT resources.
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As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions. Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and our Corporate Function Partners.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. As a GenAI Engineer with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions.
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Design and develop advanced analytics and machine learning capabilities on the data platform. We are seeking a dynamic and highly skilled Principal Data Engineer to lead these foundational efforts.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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We are currently seeking a Quantitative Design Researcher to join the Financial Services Design Research team, as a workstream Lead for our Data Insights application. We are looking for someone with expertise and demonstrated experience in data-centered projects, data migration/ingestion user experiences, and knowledge of quantitative user experience research methodologies.
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Preferably 5 days onsite in Plano TX, but can be open to hybrid Required Skills : PySpark ML, AWS, Databricks, TensorFlow or Pytorch Job Summary: We are seeking a highly skilled ML Engineer with 9 to 12 years of experience in Machine Learning, AWS, Spark, Data Science, and PySpark ML. The ideal candidate will drive digital transformation and data engineering initiatives, ensuring robust and scalable solutions that align with our company's strategic goals.
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Cloud and/or security certifications related to Cloud Architecture, Data Engineering, DevOps Engineering, DevSecOps, and Machine Learning is advantageous. Some experience with cloud-based and on-prem data solutions (Apache Hadoop, Datastore, Firestore, Cloudera Data Platform, Big Query, Azure SQL, Cosmos DB, Red Shift, Apache Spark, ElastiCache, CloudSQL, Data Bricks, Snowflake, Apache Arrow, Apache Airflow, Flink.
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Experience securing more than one IT domain such as Workstations, servers, smartphone and tablet, application security, SAN’s, virtual servers, high-availability systems and solutions, network security, security analytics, data security, compliance management, database security, intrusion prevention/detection is preferred.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
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Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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machine data mining jobs Title: engineer data analyst in Plano, TX
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