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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Data mining, machine learning, time series modeling and forecasting. Stay up to date on industry trends, tools, and best practices in data science, machine learning, and AI.
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Experience with data visualization tools (e.g., Tableau, Power BI, etc.) Advanced Analytics: Leading efforts in advanced analytics, including predictive modeling, machine learning, and statistical analysis to derive actionable insights.
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Implementing end-to-end data visualization solutions utilizing Power BI and SAS; and. Implementing machine learning algorithms including, Linear Regression, Logistic Regression, Support Vector Machines (SVM), Random Forest, and Gradient Boosting utilizing SAS and Python.
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Data Management and Analytics: Lead the development and implementation of tools, KPI's, and advanced analytics, including predictive modelling and machine learning, to identify trends and insights within procurement data.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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Experience in machine learning, artificial intelligence, or large language models (LLM) Experience in performing data manipulation, cleaning, analysis, or visualization in R, SAS, Python, or SQL.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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The Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team. This role will report to the Global Data & Analytics Director to maintain full alignment with the different Center of Excellence Data teams.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.
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Solid understanding of data analysis techniques, machine learning algorithms, and statistical methodologies. Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
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4+ years of related work experience in the field of Data Science & Machine learning. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
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Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data, and Machine Learning. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.
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Proven experience in data science, machine learning, and AI. Experience with machine learning frameworks and tools (e.g., Azure, Databricks, Google Cloud) Experience with data visualization tools (e.g., Tableau, Power BI.
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Proficiency in data visualization tools (e.g., Looker, Domo, Tableau) and reporting platforms. The ideal candidate will have a strong background in predictive modeling, machine learning, and statistical modeling, with a keen interest in applying these skills to influence company-wide strategy and operations.
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machine learning data visualization jobs in Atlanta, OR, Canada
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