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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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The employer will alternatively accept a PhD degree in Data Science, Mathematics, Statistics, Physics, Computer Science or related field of study plus 3 years of experience in the job offered or as Data Scientist, Machine Learning, Software Engineer, BI Developer, or related occupation.
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Our ideal candidates are determined to combine the art and science of data analytics and marketing to help clients address the complex challenges of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing.
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper communication skills to relate pertinent data or information about the patient or laboratory sample to appropriate care provider.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Join Our Team: Full-Time Postdoctoral Position in Bioinformatics, Data Science, and Statistics. Are you a talented and motivated postdoctoral researcher with a keen interest in bioinformatics, data science, and statistics.
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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
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This includes the collection, standardization, and management of data across NBCUniversal to enable for activation, monetization, and engagement in secure, privacy-centric ways, identity interoperability with our partners, and data enablement for our insights and data science teams.
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Actuarial Modeling, Big Data, Big Data Technologies, Commercial Acumen, Computer Science, Data Analysis, Data Engineering, Data Management, Data Mining, Data Pipelines, Data Science, Datasets, Decision Making, DevOps, Group Problem Solving, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Software Development Life Cycle (SDLC), Structured Query Language (SQL), Teamwork.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms.
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data science jobs Title: school science teacher in Newark, NJ
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