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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform (Python, R, SQL, Spark, Hive etc.
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As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital, AI capabilities, we are seeking a Principal Scientist for Data Platform Optimization.
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The work includes solving problems such as Ambient and Perishable inbound network design, middle mile network flow optimization, last mile delivery and returns design, inventory placement and targets, transportation and monetization strategies to provide Walmart a competitive edge in the medium to long term.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$144,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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ABOUT SIMPLEVIEW:Simpleview is a software development, data analytics and digital marketing firm that supports destination marketing organizations to reach their tourism marketing goals with first-in-class digital products and services.
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Responsibilities:Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Delaware North Lead Data Engineer, Databricks Buffalo , New York Apply Now Delaware North is hiring a Lead Databricks Engineer to join our IT team in Buffalo, New York. As a Lead Databricks Engineer, you will be responsible for leading the development and optimization of our Databricks-based data processing and analytics platform.
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Strong web analytics skills with the ability to analyze and act on data; and a knack for testing and optimization. Essential Duties/Responsibilities: Search Engine Optimization (SEO) Manager for Direct Energy and Reliant is responsible for ensuring content development aligns with user search habits and optimizes the health of organic website performance.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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