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Omnichannel Data Scientist. Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development & Commercialization, Inc., and ODH, Inc. ("Otsuka") does not accept unsolicited assistance from search firms for employment opportunities.
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As a Data Scientist you will be responsible for managing and analyzing large data sets, developing statistical models and machine learning algorithms, and providing insights to drive business growth for our direct-to-consumer channels.
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Growth & Innovation team leverages data, algorithms and analytics to optimize and automate all things related Walmart eCommerce - merchandising operations, site content, search etc. 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.
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We are seeking a data scientist for the Soccer Operations department with D.C. United. Analyze data from all aspects of soccer operations. Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, Dash, etc.
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Conduct data quality and gap analysis, develop a maturity plan and collaborate with data source owners on data sets Responsible for delivering Apptio system integration, enhancements, and optimization capabilities for dashboard reporting.
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3-5+ years of professional experience as a Data Scientist at the enterprise level (required) Masters and PhD in Computer Science or Applied Mathematics, with specialization in Data Science and Machine Learning.
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Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game.
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Modern Technology Solutions, Inc. (MTSI) is seeking a Data Scientist. Provide Data Science Persistent Infrared (PIR) analytical support, on-site at WPAFB, OH. The selected candidate focus is on improving the data and PED systems of production threads, to include Requests for Information (RFI), rapid scripting, process improvement, technique discovery, and data validation.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; performing real-time data integration using messaging queue (MQ); and following Agile project management methodologies.
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Data Integration and ETL: Develop and maintain data integration solutions using Salesforce APIs and BigQuery for the extraction, transformation, and loading of data from various sources into a structured data warehouse.
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The Senior Data Scientist will be allowed to work remotely, will report to headquarters of HDVI in Chicago, IL. They will develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
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Alternatively, Master’s degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 6 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Alternatively, Bachelor’s Degree with at least 2 years’ experience as a Data Analyst, Data Scientist, or Research Assistant. Data Scientist Are you seeking to grow and enhance your technical career to new heights, in a full-time, W-2 opportunity.
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As a Data Scientist working on Risk you would work with engineers, product managers and operations teams across the company to understand and mitigate the risks to our business. 2-4+ years professional experience as a Data Scientist.
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