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Using Machine Learning / Predictive Analytics to forecast user growth. How would you like to become a Data Analytics Manager at a leading Digital Media company that is scaling quickly due to such high demand for their product.
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Expertise in two or more of the following advanced analytics methods: descriptive statistics, predictive statistical methods and machine learning, multi-touch attribution modeling, MMM, cross-device measurement.
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Drive product innovation and differentiation by identifying new opportunities for advanced analytics solutions, leveraging data science techniques and machine learning algorithms to deliver actionable insights and predictive analytics.
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Work with our Data Engineering, Business Intelligence and Machine Learning teams on data infra, dashboards and ML models. Experience with, or interest in learning, a BI tool. Our direct client, a fast-growing FinTech firm is looking for an Analytics Engineer to help drive measurable growth across various business teams.
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This position sits within the Analytics team of the broader Data & Analytics department and work closely with our Data Engineering, Business Intelligence, and Machine Learning teams.
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Head of Technical Solutions & Analytics, Programmatic Solutions Consulting - AdTech Sales & Services
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Significant technical and operational experience with multiple domain areas of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.
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Design and build both standard and advanced models, including econometric, artificial intelligence and machine learning-based approaches. Join forces with the Data Engineering team to ensure the availability and integrity of data required for analytics, ML ops for deployment, and identify opportunities for data integration, automation, and augmentation.
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In-market experience and/or knowledge of local language and culture as well as regulation and industry trendsUnderstanding of card issuers’ P&L and cardholder life cycleKnowledge of emerging trends in the local payment landscape including FintechStoryboarding and data storytelling including strong Excel and PowerPoint skillsUnderstanding of statistical analysis, machine learning, modeling, scoring schemes, etc.
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And insights generation Ad-hoc analytics to understand brand performance Model development for sales force sizing and structure Other analyses as required Responsibilities: Manage measurement of promotional tactics using various machine learning based statistical techniques.
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5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting.
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The Manager will be challenged with designing and creating world class prospect marketing analytics solutions by leveraging machine learning and advanced methodologies. Strong knowledge of machine learning techniques, including XGBoost, Decision Trees and NLP models.
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7+ years of proven experience in machine learning, statistical modeling, and optimization techniques, with proficiency in programming languages such as Python, R, or similar Graph analytics.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership.
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Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (AI), and machine learning (ML), we create agile, scalable solutions and execute complex operations for the worlds leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others.
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machine learning jobs Title: analytics in New York, Bentonville, Kansas
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