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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fields and minimum 4 years related business experience in analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and 2 years directly related experience.
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We are in search of talented individual who is interested in a career as a Python Data Engineer in HSAG's Data Science & Advanced Analytics division. Serve as the Python programming expert for the HSAG Data Science & Advanced Analytics division.
$100,000 - $124,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Als (Senior) Consultant Data Scientist liegt Dein Fokus auf der Konzeption und Umsetzung von Data Science-Projekten. Weiteres zum (technischen) Umfeld: Zookeeper, Elasticsearch (Logstash, Kibana, Beats und X-Pack), MapReduce, NiFi, Zeppelin, Hortonworks Data Platform, Falcon, Atlas, Sqoop, Flume, Kafka, YARN, Pig, Hive, HBase, Accumulo, Phoenix, Storm, Flink, Ambari, Ranger, Knox, Oozie.
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As a Data Scientist on our team, you will design, develop, and deliver data science solutions requiring LLM and NLP models in support of data driven strategies. Experience with NLP, LLMs, deep learning and working with typical data used in such models preferred.
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Enrolled Agent - Professional Certification in Project Management (PMP) - Six Sigma Black Belt/Lean Black Belt/Master Black Belt - UX Certificate - Nielsen Norman Group - Agile Product Management - Alteryx Designer Advanced Certification - Chartered Financial Analyst - Masters - Business Administration, Economics, Finance, International Business, Tax, Computer Science, Information Science, Mathematics, Statistics, Science in Business Analytics (U.S. institution.
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9+ years of materials science experience within the aviation industry. SUMMARY: The Material Science Engineer is responsible for researching, developing, and selecting materials for use in aircraft components, systems, and structures.
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The University of Arizona, College of Medicine’s Curricular Affairs office is looking for a creative and innovation-minded professional to serve as the Executive Director of Data Science, Assessment and Evaluation to shape the digital learning landscape at UACOM-T MD program, and beyond.
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Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
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As a Scientist at Arete, we are seeking junior and mid-level applicants with a strong Physical Science/Engineering/Applied Math/Computer Science background to work in the areas of ocean remote sensing, signal/image processing and detection, computer vision, machine learning, physics-based modeling, data analysis, sensor hardware development, and field test design and support.
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Data Governance, will be a lead on data validation and quality control with regards to Medicare Advantage Risk Adjustment. 3 years of experience in Medicare Risk Adjustment and related data sources.
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Integration Engineers use data analysis and a wide range of knowledge from physics, chemistry, material science, and semiconductor device physics to identify and quickly resolve issues arising in the manufacturing process to minimize the impact to defects, yield, and device electrical performance.
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Bachelor’s degree in biology, hydrology; geology; civil/environmental engineering; environmental science; geological/mining engineering; sustainability; environmental law; or a closely related field.
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Our R&D groups are unified in their approach, and united in their purpose working both independently and together, with shared functions specialising in key scientific capabilities from medicinal chemistry to biometrics, patient safety to data science and artificial intelligence (AI), and clinical innovation to device technology.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients' access to medicine.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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data science jobs Title: data science lead in Phoenix, AZ
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