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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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Experience with Data Science including AI/ML Engineering, ML framework/pipeline build and predictive/prescriptive analytics on Aws Sagemaker. ~ Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage, Informatica, Matillion, FiveTran, Talend or Dbt.
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As a Data Science intern on our team, you'll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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The successful candidate will teach introductory and upper-level courses in Data Science such as Data Curation, Data Modeling, Data Management, Data Mining, Big Data, Data Analysis, Machine Learning, Data Visualization, Computational Thinking for Problem Solving, Information and Data Security and Privacy, Information and Data Quality, Information Retrieval, and Data Science courses in the candidate's area of expertise.
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Graduation from an accredited four-year college or university with major coursework in Atmospheric Science, Climatology, Meteorology, Hydrology, Computer Science, Statistics, Data Analytics, or a related field.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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Experienced technical lead for the data science team, with experience mentoring team members. Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning.
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Minimum Qualifications Graduation from an accredited four-year college or university with major coursework in Atmospheric Science, Climatology, Meteorology, Hydrology, Computer Science, Statistics, Data Analytics, or a related field.
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Physics, Computer Science, Mathematics, Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Data Science. Have direct experience in one or more technical fields: optical metrology, data analysis, lasers, detectors, electro-mechanical and electro-optical devices, electronics, mechanics, material science.
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We are looking for an exceptionally awesome Associate Director, Data Science, to join our team here at ROI•DNA. This position reports to our Associate VP, Data Science & Behavioral Analytics.
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The Colorado State University Libraries seeks a collaborative, creative, user-centered professional for the position of Research Data Librarian-Science Specialist. Master’s degree in library science from an ALaccredited program or international equivalent; a PhD in a data-intensive field; or a master’s degree in a data-intensive field plus two years of relevant experience in the development, coordination, delivery, and/or promotion of data management services.
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Perform experiments (e.g., 11.7T MRI, 3T MRI, neurobehavior tests, brain sectioning, SEM, ELISA, primary rodent cell cultures, ICC, IHC, confocal microscopy), maintain detailed records of experiments (related to animal surgeries, animal measurements, and behavior tests), analyze and interpret research data using GraphPad Prism, ImageJ, and MATLAB (60.
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Apply data science concepts to build predictive analytics tools using cutting edged techniques to exploit big data. · Experience applying data science techniques to environmental science and/or weather-related challenges.
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data science jobs Title: data architect Company: Harnham
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