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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$99,900 - $166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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Proficiency with relevant software or programming languages, e.g. MATLAB, SIMCA, gPROMS, DeltaV, OSI PI, R/R Shiny, Python, machine learning libraries. Masters or PhD. in Chemical Engineering, Bioengineering, Data Science/Engineering, Computer Science, Computer Engineering, or related fields.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Seeking a Principal Machine Learning & Data Science professional to be responsible for advancing company’s AI and data science capabilities. · Define and execute the vision for machine learning and data science initiatives.
$185,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Assemble and manage machine learning and data science Scientific Advisory Boards. The successful candidate will have a track record of accomplishments in data science/machine learning as well as demonstrated high-impact research in academia or industry.
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Past experience working on Machine Learning projects. Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning.
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big data learning jobs Title: machine learning engineer in Watertown, MA
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