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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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Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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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. Senior Data Scientist - Advertising Technology (AdTech.
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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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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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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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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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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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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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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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Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
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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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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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data job Title: technology lead Company: Tiger Analytics
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