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The Associate Director of Data Science manages all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) along with the development, validation, testing, and maintenance of analytic tools, models, and algorithms for client projects and operational initiatives identified by INSAGIC. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior.
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Requirements: Minimum of Master’s degree, or foreign equivalent, in any Science, Technology, Engineering, and/or Mathematics (STEM) field of study and at least two (2) years of experience as a Quantitative Researcher, or related occupation for a financial services/investment management/investment banking organization.
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This is a great career opportunity to join a pioneer at the forefront of data science solutions for investors, consulting with some of the worlds largest private equity firms to assist them with their investment processes.
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What You’ll Bring A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;A robust academic performance with coursework emphasizing analysis and quantitative skills.
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Angi is seeking an exceptional Director of Data Science and Machine Learning to be a driving force behind Angi's transformation. You have 10+ years of experience in data science & machine learning, with a focus on product personalization, ideally within the tech industry & marketplace environments.
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Identify and track key success metrics for the ML PlatformWork with senior leaders to prioritize business and ML Platform needsPartner closely with tech partners on implementation and deployment of Cloud capabilitiesQualifications:Masters or PhD degree in Computer Science, Mathematics or related field.
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A PhD Degree in Computer Science, Statistics, or a relevant field or a Master's degree with 5 or more years of relevant post-collegiate work experience; A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.
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As a Data Science Engineer in the Applied Data Science investment team within J.P. Morgan Asset Management, you will collaborate closely with portfolio managers and data scientists on a proprietary data science investment process.
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This opportunity is for someone who wants to make an impact in advanced analytics and data science within the Asset Management segment of the FinTech Industry and will provide direct support to North American Distribution Solutions.
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On the Data Science team, our mission is to enable data-driven decisions and products across Carta by collecting accurate data, building scalable infrastructure and delivering advanced analytics.
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They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients business needs and using data to tell great stories.
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We're looking for a VP of Data Science to run a team of 6 responsible for all client analytics, including healthcare cost and quality, product ROI, and concierge and product utilization and efficiency.
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Mentor and coach junior members of the marketing data science team, providing guidance and support to help them develop their skills and expertise. We are looking for an experienced Global Lead - Marketing Data Science to enable the Marketing organization with cutting edge data and analytical capabilities to make decisions.
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Job Title Data Science Adjunct Campus Department Computer & Information Science Full Time, Part Time, Adjunct Classification Title Job Duties Rank Adjunct Lecturer Tenure Information Non-Tenure Track Duties and Responsibilities Saint Peter’s University is committed to helping students achieve success not only with their academics, but also in their professional fields.
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Good knowledge in data science, and model development and applications. In today’s data-centric landscape, the effective management and governance of models lie at the heart of informed decision-making.
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science job Title: data science in Bronx, NY
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