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CSS is seeking a Marine Ecologist for full-time employment to support NOAA's Marine Spatial Ecology Division in the National Center for Coastal Ocean Science (NCCOS) in Silver Spring, MD. Use established- and develop novel- approaches to conduct ecological assessments using fish telemetry/tracking systems, bio-physical data, remote sensing, and human-use data.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Key Functional Requirements & Qualifications: Advanced degree (PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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The Principal Enterprise Data Architect should have an in-depth understanding of healthcare data and analytics, data warehousing, Business Intelligence, Epic Cogito, cloud computing, how to leverage data science solutions and AI, and electronic health records platforms.
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Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Experience with data warehouses: Snowflake, BigQuery, RedShift.
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Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data. The ideal candidate will have a background in epidemiology, computer science and/or bioinformatics.
$54,000 - $63,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor of Science degree from an accredited college/university with a major in biological, chemical, physical, or clinical laboratory science AND at least two years' experience in a role equivalent to that of a Medical Laboratory Technician (MLT) in a clinical laboratory.
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Ph. D. in Biochemistry, Molecular Biology, or related field with a strong focus on protein science. Proficiency in data analysis and scientific software tools (e.g., GraphPad Prism, MATLAB, Python.
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Degree required, preferably in Data Science, Mathematics, Engineering, Physics, Statistics, or Computer Science required. The capability is built on cutting-edge technology, which has sparked a flurry of research efforts covering computer science, computational geometry, statistics, differential privacy, and system architecture.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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Additional experience required includes scientifically processing imagery (SAR, IR, Spectral, Lidar) from Civil and Commercial imaging systems, proficiency with techniques, algorithms, and scientific analysis of associated discipline data processing using RSI ENVI. Experience with GOTS applications such as FSTK and AGITK is a plus.
$86,235 - $146,638 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 12 days ago - UpvoteDownvoteShare Job
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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data science jobs Title: senior manager Company: Cytel
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