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Senior candidates will be expected to play a leadership role as the Associate Director of the new NJIT Institute for Data Science, whose Director is Distinguished Professor David Bader. The Department of Data Science at New Jersey Institute of Technology (NJIT) invites applications for tenure-track faculty positions starting in Fall 2023.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Bachelor's degree in relevant field- Computer/Data Science, Economics, Mathematics, Statistics. Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake.
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Biomedical Informatics: data science involving multimodal data streams and electronic health records (EHR) from the intensive care unit (ICU). Opportunity to collaborate with members of the Department of Neurology, Neurosurgery, and Radiology at UCSF as well as Computer Science and Statistics at UC Berkeley, Harvard Medical School, Duke, UVa, University of Pittsburgh, UCLA, Mayo Clinic, Massachusetts Institute of Technology, and other centers.
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Bachelor’s degree required – preferably in research administration, healthcare administration, business administration, legal or regulatory studies, biomedical, science, or another research-related field.
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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 customers unique experience and delivering results through our omnichannel business model.
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Two (2) years of experience with applying statistics and psychometrics concepts, including classical test theory, item response theory, structural equation modeling, and mixed-effects modeling; applying AI and machine learning to measurement in education; educational data mining; scientific programming environments (R, Python, Stata, and/or MATLAB scripting); and/or, mathematical foundations of modern statistical and machine learning methods.
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Must have a Bachelors of Science Degree in Medical Technology/Immunology/Biology or other Life Science disciplines from an accredited college or university. Ability to define problems, collects data, establish facts and draw valid conclusions.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability combining science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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Over 10 years of professional experience with a strong focus on data science and ROI measurement in a consumer goods environment. Requirements Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field.
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Ph. D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent; Familiarity with analyzing high-throughput genetic data is preferred (e.g., processing FASTA, BAM/CRAM, VCF, BED/BIM/FAM files using PLINK, bcftools, Hail.
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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data science jobs Company: Red Hat in New York, NY
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