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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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Role:Design, develop, and maintain high-performance, scalable, and secure Java applications Implement distributed processing solutions using multi-threading and multi-processing orchestration Develop cloud-based applications on Azure, with experience in OpenShift being desirable Write efficient SQL queries, stored procedures, and create views for relational databases Analyze data and perform data transformations using tools like SSIS Script automation tasks using Python.
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Create and collaborate on technical designs, design data models and implement robust, secure, maintainable code and tests (Elixir/Phoenix, Python/Flask, ReactJS and Go.) You will report directly to the CTO and work closely with the others in the tech, product and data science teams to build our next products and shape our technical architecture and culture.
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The Learning to Work (LTW) at Young Adult Borough Centers Program will provide services to students, ages 17 1/2-21 that are over-aged for grade, under-credited, and have spent at least one year in another high school to earn a high school diploma and gain valuable vocational and life skills supports.
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Extensive experience with statistical analysis, data modeling, and data visualization tools such as R, Python, SQL, and Tableau. The ideal candidate will have a deep understanding of Direct-to-Consumer research methodologies, data analysis, and statistical modeling, as well as a strong business acumen.
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We're looking for a Head of Platform, a leader with a deep understanding of proteomics and small molecule drug discovery who can help us scale one of the most exciting screening and data generation platforms in a novel modality.
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Demonstrated experience in overseeing product initiatives powered by data science methodologies, such as computer vision (CV) or natural language processing (NLP). Your leadership will bridge our data science endeavors with operational excellence, guiding the development of ML/AI technologies that power our classification systems.
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Experience with common Python data science packages (NumPy, Pandas, etc) Our growing team of 15+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs and Bridgewater Associates.
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Master’s level education with a focus on statistics, mathematics, engineering, computer science, computational physics, or economics. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
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Facilitate and/or supervise the collection of data for Fordham University, DYCD evaluator assembling the data and arranging for its timely delivery as requested. To help fulfill our mission, we cultivate a culture of learning, leading, and collaboration to enhance community impact.
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The PA Program is part of the School of Health and Natural Sciences with 5 accredited graduate health professional programs (communication disorders, occupational therapy, nursing, physical therapy, and physician assistant studies) and undergraduate programs in biology, clinical laboratory science, communication disorders, exercise science, nursing, occupational therapy assistant (AAS degree), and veterinary technology.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more.
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The ideal candidate has extensive knowledge of elementary literacy, the science of reading, and best practices for literacy teaching and learning in grades K-5, experience fostering adult learning through high-quality professional development and coaching, strong data analysis and strategic thinking skills, a mission-driven mindset, and a passion for innovation.
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