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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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We are seeking an individual with significant project management/technical lead experience and a strong technical background, which may include experience working on frontend or backend web development, data engineering, data analysis, quantitative social science, data visualization, data science, site reliability engineering, or cloud architecture.
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We are seeking a Senior Marketing Data Analyst to join our team and lead data-driven decision-making in our omni-channel marketing initiatives. As a Senior Marketing Data Analyst, you will play a pivotal role in analyzing complex marketing data, deriving actionable insights, and optimizing omni-channel programs to maximize ROI and customer engagement.
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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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OR Two (2) full academic years of progressively higher level graduate education leading to a graduate degree in a related field of study such as: business administration (finance, accounting, auditing, marketing and business law) law, economics, criminology, political science, government, social science, communications, psychology, public administration or other related field.
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As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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A preference for candidates with a background in Marketing Data Engineering. Innovate and develop database architectures to gather and organize data, enabling the generation of interactive dashboards in business intelligence tools like Tableau for comprehensive marketing analysis.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. 6+ yrs of professional experience in a data science role with a preference for holding an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. The ideal candidate will have a strong background in data science, machine learning, deep learning, NLP, Generative AI and statistical analysis, as well as experience in a leadership role.
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Serve as a climate science subject matter expert, performing meteorological and climate data analysis, including regional climate profiling guiding teams on the use of climate data and tools for assessing natural hazard risk.
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Managing clients in 40+ countries, their global team of 300+ focuses on data-driven strategies that help connect brands to the right consumers through performance partnerships, traditional affiliate, influencer, performance PR, content and B2B partnership marketing.
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marketing data science jobs Title: senior manager in Atlanta, IN, Arkansas
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