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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts.
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In order to be successful and achieve the above responsibilities, the Data Architect must possess the following qualifications: Education Required: A bachelor’s degree from an accredited college or university in computer science, data science, engineering, or related field, required.
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Guide the organization about the business potential and strategy of artificial intelligence/data science to unlock the Sustainability commitments. As a Sustainability Data Solution Architect, you will be the leader responsible for applying expertise in data science to uncover our existing Sustainability data across multiple tools and systems and devise a strategy for how Sustainability data should be stored, maintained, reported, and utilized to drive the correct insights and decision-making against our sustainability goals.
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Key competencies desired:Scientific Agility- Ability to engage in a dialogue about data in a compelling, fair and balanced way and explain in a manner that resonates with TLs/HCPs- Expert knowledge of clinical practice and evolving healthcare delivery models.
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Qualifications Advanced Degree in computer science or electrical engineering 4+ years hands-on data engineering software Must have development expertise using Scala and Spark. Role: A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor's degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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PacketFabric Data Center Engineer THE ROLE: As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. (Customer, Data Center Operator, Telecommunications Vendor or Customer) Understanding of large scale data center environments (power, cooling, physical hardware, cabling topologies.
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Design, build and maintain data product framework to support EquipmentShare application data science and analytics features. Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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The creative application of artificial intelligence, machine learning and stored information to improve pattern recognition, genetic analysis and deep phenotyping of health data is anchored by our commitment to responsible, ethical and open science.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Based on our continuing growth, and the increasing value our team is producing in partnership with our customers, we are growing our data engineering team and are looking for someone to lead this effort with us.
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Bachelor of Science (BSEE is preferred) with a minimum of 8 years of field commissioning experience as a site lead engineer. PLC, RTU (Remote Terminal Unit), DCS (Distributed control system) and Computer controlled SCADA (Supervisory Control and Data Acquisition) systems with a focus on power delivery equipment and paralleling switchgear operations and mandatory understanding of power delivery equipment as it pertains to data center and healthcare application.
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BS or MS degree in Health Informatics, Data Engineering, Computer Science, Information Technology or equivalent. This position supports the flow of high quality and large quantity data into Commercial Analytics data science models, solutions, and analytics.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We apply expertise in solid and fluid dynamics, materials science, acoustics, risk assessments, and computational simulation methods to solve complex problems. Researching and interpreting published research, technology data, and engineering studies on decarbonization technologies like carbon capture, hydrogen, battery storage, etc.
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As a Data Integration Engineer you will be a member of our highly technical production support team, who develops, pro-actively monitors, performs wellness checks and observes the status of File Transfer in the Production and Development environments.
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data science jobs Title: data science lead Company: Springboard in Chicago, IL
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