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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success.
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Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
$160,000 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As this is part of multiple ongoing collaborations, the nature of the work will depend on your strengths and experiences; this is an exciting opportunity to be involved in work with direct real-world impact and leverage our department's expertise to build skills in a number of areas from high-performance computing/GPU acceleration, implementation of machine learning algorithms, computational biology pipelines, matrix operations on sparse data, among others.
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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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The Data Science Solutions Engineer at Lucid is setting data science pipeline for our fast growing data team. The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucids Luxury brand.
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Qualifications: Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher.
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The Evidence-to-Impact Collaborative within the Social Science Research Institute at Penn State University, University Park, is seeking applicants to direct the PSU Administrative Data Accelerator.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
$110,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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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.
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data science jobs Title: senior data engineer Company: National Grid Co Usa Ne Power
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