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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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Our executive leadership is seeking a Head of Data Science with a deep understanding of data science fundamentals, strategic use of technology, and the ability to leverage AI and LLM applications to drive significant business value for Noom’s current and future initiatives.
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A combined 5-year BS-MS program, a minor in computer science, a Certificate in Data-Intensive Computing, and several joint programs (BS in Computer Science/ MBA , BS in Computational Physics, BA in Social Sciences Interdisciplinary – Cognitive Science Concentration, BS in Bioinformatics and Computational Biology – CSE concentration) as well as MS and PhD programs in Computer Science & Engineering.
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Experience leading data science infrastructure strategy and implementation and familiarity with data warehouse design, development, and best practices. Job Description We are looking for a experienced leader to manage a newly centralized Data Science and Analytics team.
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Bachelor’s degree (or foreign education equivalent) in Quantitative and Computational Finance, Computer Science, Mathematics, Accounting, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing quantitative, statistical, or financial engineering models and software solutions using Python, R , and SQL.
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Bachelor's degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. 5+ years of working experience as Statistician, Data Analyst, Machine Learning Engineer, Data Scientist in digital marketing, advertising, healthcare, or other areas requiring customer level predictive analytics.
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Specialized experience in patent prosecution within electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), and machine learning/artificial intelligence (in addition to data science) and hardware security is highly encouraged.
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Data Governance and Operations is one of the critical pillars within the newly established Chief Data Office (CDO), part of T. Rowe Price’s Chief Operating Office (COO). The Director, Data Management and Reporting will lead through collaboration with CDO Technology, the Enterprise Transformation Office, the CTO organization, and Business Data Product owners to ensure that Data Governance Programs deliver actionable results achieving agree upon strategic outcomes.
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Bachelor’s degree (B.A.) in education, a social science discipline (e.g., psychology, sociology), public health or social work and two years of applicable experience in program evaluation or social science research and/or equivalent experience.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Guidehouse is seeking a motivated, passionate, organized, and detail-oriented Medicaid Data Senior Consultant to support the analysis of State Medicaid data. Experience with data analytic tools (such as, Python, R, or similar tools.
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Description: Little, Brown Spark is a leading publisher of prescriptive and expert-driven nonfiction on subjects including health and wellness, psychology, self-help and personal growth, lifestyle, business and career development, science, social science, nature, and spirituality.
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This live-in position reports to the Executive Director of Residential Life (RL) and supports RL and Undergraduate Student Life (USL) function of Columbia College and the Fu Foundation School of Engineering and Applied Science.
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Ensure compliance with industry standards, codes, and regulations governing data center construction, including environmental, health, and safety requirements. Proven leadership experience overseeing large-scale data center construction projects, including colocation facilities and in-house constructions.
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Collaborate with Product, Data Science, and Customer Success teams to design, implement, and maintain large scale data products. Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark.
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data science jobs Title: san diego Company: Unilever in Pine City, NY
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