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You have a rock-solid foundation in Computer Science (data structures, algorithms, software design). Experience with Big Data and technologies such as Map/Reduce, Hadoop, Pig, HBase, Hive.
$147,520 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. To be successful as a Data Scientist on the Field Analytics Data Science team you should have a demonstrated background blending large datasets, statistics, creativity, and consulting into actionable outcomes.
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As an applied machine learning scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius imaging products routinely used by major companies across the life science and biopharmaceutical industry.
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You have completed a Ph. D. in Computer Science, Machine Learning, Biotech, Engineering, Physics, or related disciplines/equivalent research experience, preferably with a focus on life science or biotechnology applications.
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Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline. We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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Bachelor degree in Computer Science, Management Information Systems, Information Systems, or Business Administration. In depth knowledge with SSRS and other computer database/reporting tools preferred.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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A bachelor s degree in IT, Computer Science, Information Systems, or a related field. Constantly operates a computer and other office productivity machinery, such as a computer.
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BS/MS in Computer Science/Computer Engineering or a related field from a top university preferred. Senior Software Engineer / Tech Lead | Tech-Driven Hedge Fund. The role involves working hand-in-hand with their distinguished quant researchers to develop and expand their research platform, which is it's a highly distributed framework designed to amplify the success of their trading strategies.
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Master's Degree in IT, computer science, business or engineering OR a minimum of. AMDEX.ai The Art of Data Science. Certified Information Security Manager (CISM) Master's Degree in IT, computer science, business or engineering OR a minimum of.
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Working knowledge of applicable computer software such as PMWeb or similar project portfolio management software, data serve, excel, JDE, etc. With $5.8 billion in revenue for 2023, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for industrial, commercial, institutional and residential related building projects.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent. Experience using circuit and EM simulation tools such as Ansys HFSS and Keysight ADS/Momentum, Cadence Allegro.
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MS or PhD in EE with emphasis on advanced packaging or RFIC/mmWave design/Bachelors degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent.
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