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Leveraging deep expertise in business strategy, analysis, data science, and visualization techniques to support the audit function and the organization with actionable insights to drive ongoing success.
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Knowledge of modern data mining, quantitative research, and data science techniques (e.g., machine learning, behavioral analytics) Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R.
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Expertise in machine learning, data mining, nonparametric statistics. A Ph. D. in computer science, statistics, engineering, physics and econometrics or other quantitative science; and professional experience at a hedge fund, prop trading firm or investment bank focused on quantitative analysis, trading system development or algorithmic execution.
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This position will provide support to all departments and will require predictive analytics and data mining proficiency, solid marketing acumen, excellent organizational skills, adeptness to problem solve within a fast-paced environment and ability to manage deadlines effectively.
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Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
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Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of resultsPREFERRED QUALIFICATIONS- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
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Our teams apply business intuition along with a diverse set of methods and algorithms, including but not limited to, statistical inference, machine learning, text mining, process mining, network analysis, and data visualization to improve operations.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Applying ML techniques, such as data/text mining, document analysis, image/text classification, image processing and OCR. Bachelor's degree in Computer Science or related field. Designing and implementing data pipelines to facilitate ML training.
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Reporting to the Senior Information Governance Manager, the ideal candidate will have 5+ years of experience in e-discovery, data extraction, mining, and/or retrieval. A bachelor's or master's degree in computer science, information technology, data science is preferred.
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Use advanced data extraction and mining tools i.e. Google Cloud Platform and Big Query, and build models using Python/R. The W+ Advanced Analytics Manager is a critical analytical role that offers you the opportunity to utilize your data analytics and data science skills for Walmart+ , a top company priority.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$55,000 - $136,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Partner with Product Management, Data Science, and Client Success teams to define goals and approaches to realize the value of identified business cases; Proficiency in principles and methods of data management, i.e., ETL, data validation, data mining.
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data science mining jobs in Manhattan, NY
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