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You will be a creative and collaborative problem-solver, passionate about addressing challenging technical and biological questions with innovative data science solutions. United by our passion for discovering and translating novel biology, we are dedicated to advancing human health through transformative science.
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Client Engagement: Identify opportunities to expand Sia Partners' Data Science offering to existing clients. You will join the global Data Science capability at Sia Partners, consisting of 300+ Data Scientists located across Europe, North America, and Asia. You will be part of the growing US Data Science team, focusing on marketing analytics for various sectors including luxury, energy, FMCG, banking, and insurance.
$128,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
$128,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Reporting to the Vice President of Marketing Analytics & Modeling, this role will be responsible for executing on Dow Jones' investment in next-gen marketing data science in support of its direct to consumer products.
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Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions.
$78,721 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Capital One's Commercial Data Science team works to improve the way commercial banking is done through the use of innovative data and model-driven solutions. Manager, Data Scientist - Commercial Banking Data Science.
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About The Manager - Risk Finance Data Science Role. The primary responsibility of the team is to leverage data, latest tools, and advanced techniques to innovate and help the organization make sound forecasts of the company's Billed Business and Loan amounts for all of AXP in the context of the annual Comprehensive Capital Analysis and Review (CCAR) exercise.
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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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A leading, innovative CPG company is looking for an experienced Senior Manager of Data Science and Analytics to successfully mine and analyze data, develop predictive models, and deliver data-driven recommendations to improve channel performance and business success in New York City.
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Master's degree or foreign equivalent in Mathematics in Finance, Data Science, Quantitative Finance, Statistics or a related field of study plus 4 years of experience in the job offered or 4 years of experience as a Quantitative Finance Analyst, Risk Management Analyst or a related occupation.
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10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
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Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. + Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making.
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The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or IRI data. Key Responsibilities:Oversee the design and execution of data science projects, including predictive modeling, machine learning, and statistical analysis.
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You are proficient in a wide range of data science techniques, including data modeling, machine learning/Al, NLP, and unstructured data analytics, and are eager to apply them to solve complex clinical or business challenges.
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science job Title: data science in Bronx, NY
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