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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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DE conducting and streamlining quantitative research on signals and factors which predict future stock returns, using data science techniques including, large dataset manipulation, Webscraping, natural language processing, and econometrics and statistical techniquesmacro and micro economic reasoning, multivariate regression, and statistical machine learning.
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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. 10+ years of software engineering, analytics development or machine learning engineering experience.
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PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry. We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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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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The People Analytics Consultant role will work with HR & business stakeholders and the leadership to leverage People data to inform and enhance decision-making. This role requires a strong passion for strategy, talent management and data analytics.
$92,800 - $121,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Development and implementation of advanced data analytics and state-of-the-art machine learning models to generate insights from proteomics (ABPP) data, protein structure, and protein dynamics to enhance target prioritization and structure-based drug design efforts.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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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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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Take ownership of end-to-end data and analytics that supports a key AML priority.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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modern data governance machine learning analytics consultant jobs in Boston, MA
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