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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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In this role specifical, the Principal Data Scientist (Deep Learning) will lead algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion.
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Deep knowledge and experience with machine learning algorithms and libraries. As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel.
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Expertise in Python, SQL, and data visualization tools. Deep dive into user behavior data to provide insights to product leaders and influence the company’s product strategy.
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Reporting directly to the Principal, Social Emotional Learning, Specialists work closely with scholars, teachers, families and School Leadership to provide school-based Counseling sessions both formally through IEPs as well as at-risk to high-needs scholars.
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Deep understanding and knowledge of data structures and software engineering principles. Data security and privacy (e.g. GDPR, CPP) ML engineering is a rapidly changing field – most of all,we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
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4-8 years of experience as machine learning engineer/data scientist. Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
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HR Business Partner runs reports and/or input data to the PLEX system. HR Business Partner enters confidential employment information into system, including reporting relationship information and time and attendance data.
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Excellent data entry skills. PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations.
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Our geotechnical projects involve buildings, bridges, highways, railroads, tunnels and marine and waterfront developments, water resources and dams, geo-structural analysis, soil and rock slope stabilization, automated instrumentation programs, resource evaluations, shallow and deep foundation design, earth retention design and ground improvement programs.
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This position will be responsible for developing and managing all aspects of our alumni relations program including data collection and event planning in cooperation with the Alumni Affairs and Development team.
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The ideal candidate will have 4-8 years of structured products experience, and MUST have Python and SQL. Experience with structured credit (RMBS, CLOs, CMBS, ABS) Our client, a $500 billion asset manager in Manhattan, is looking for a quant modeler to join its Quantitative Analytics team within a newly formed division within the firm.
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Stay at the forefront of latest trends in machine learning, statistical test design, media mix modeling, artificial intelligence, and other data science fields. A passionate leader with deep expertise in cutting-edge analytics methodologies and a knack for building strategic partnerships.
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When it comes to aesthetics, our surgeons are proud to oversee Deep Blue Med Spa, a comprehensive medical spa designed to provide patients with non-surgical aesthetic options clinically proven to rejuvenate, restore, and refresh.
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Proficiency with deep learning frameworks and data structures. As a member of our NGS and Data Science team, you will leverage your Machine Learning (ML) expertise to expand our effort in ML predictions and their translational application to rational vaccine design.
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