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At least 3 years of product management experience or at least 3 years of experience in product design, agile delivery, business analysis, data science, or software engineering. In this role you will define and lead the product strategy for Capital One’s Experience Data Management team.
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At Vibrent, we work with the latest tools and technologies including enterprise mobile apps, fitness sensors, medical devices, cloud computing, machine learning, big data and analytics. Must have a bachelor's degree (or foreign equivalent) in Computer Science, Electronic Engineering, or a directly related field plus 5 years of experience in a directly related position.
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CJ Qualifications Required Qualifications:Bachelor's Degree in Information Technology, Computer Science, or related technical discipline (may substitute with a minimum of 5 years relevant work experience.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USABASIC QUALIFICATIONSBasic qualifications include: •PhD in a relevant field, received within 2 years of starting the program; •Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields; •Experience in data science and quantitative research; •Proficiency in technologies relevant to the subfield.
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Provide Linux appliance maintenance – CentOS based Linux appliance managementSupport cloud automation scripting – AWS cloud automation scripting and service interactionSupport elastic stack operations and maintenance – this is specific to the Elastic stack more recent versions which include the machine learning and big data analytics applicationsProduce innovative solutions driven by exploratory data analysis from complex and high dimensional datasets.
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Lead a team of developers and clients will be a mix of clinicians, computer scientists, data architects, and life science SMEs. May wear multiple hats: architecture design and development, code reviews, mainframe deployment and customization, responsible for the system quality of the solution being delivered to the business.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Title: Data Science Analyst - TS/SCI KBR is seeking a highly motivated Senior Data Science Analyst to provide data science principles and techniques to assist the cost analysis team in handling and analyzing datasets in order to efficiently develop the answers to questions which are critical to the customer success.
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They are currently adding staff to an exciting program that sits at the intersection of Intelligence, Data Science, and Software Engineering. The team has developed a capability to counter cyber threats and utilize large-scale mission data to impact our national security and improve our ability to meet the needs of the Warfighters.
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A minimum of seven (7) years of demonstrated experience in computer networking, computer network security, technical analysis, data science, or computer network operations. A minimum of three (3) years of experience with data visualization tools.
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The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians.
$124,100Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Master's degree in Computer Science, Data Science, Statistics, GIS, or a related field or equivalent experience. Experience with cloud platforms (e.g., AWS, GCP, Azure)Proficiency in SQL, Python, R, or similar products or languagesProficiency in data visualization tools such as MS Power BI or TableauDemonstrated experience in process automation.
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You'll own and prioritize the near-term product roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes.
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data science jobs in Springfield, VA
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