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Experience with data science tools and programming languages such as Python, R, SQL, and big data technologies. Minimum of 3 years of experience in a data science role, with a strong foundation in statistical analysis, predictive modeling, and machine learning.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Technical Proficiency:Proficiency in programming languages such as Python, R, or JavaExpertise 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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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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Knowledge of statistics, data science, AI/machine learning, big data management. We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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Plusses include experience with AWS, PowerBI, Alteryx, Poppulo (e-mail mktg); experience with big data analytics data science; CPG/FMSG/Food & Beverage experience. Our connected equipment transmit millions of rows of consumer consumption and operational data every day; and the Freestyle Data Science & Analytics Team is responsible for extracting value from that data to delight consumers, improve customer and business performance, engineer a more reliable fleet, and drive brand and flavor innovation for the Company.
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The ideal candidate would focus on areas of particular interest: outcomes-based research; computational exploration of potential surgical or transcatheter solutions in congenital heart disease; and/or artificial intelligence use in big data.
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Experience with programming languages and big data technologies for data science like Python, SQL, PySpark, Hadoop, Spark Scala. MS or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or any related field.
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5+ years of experience in data-centric roles such as Data Science, Business Intelligence, business analytics, data warehousing, data acquisition, Big Data, or data architecture.
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Experience in providing business solutions which require analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems.
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Master’s degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field. Professional certification in data science or advanced analytics (e.g., Certified Analytics Professional, Data Science Council of America certification.
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Key Roles and Responsibilities:Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
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AllCloud is looking for an experienced Cloud Data Architect to lead the professional domain of big-data, analytics, AI and ML in North America. Own the technical solutions for AWS big-data, analytics, AI and ML projects.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Advisory o Software Engineering, Computer Science equivalent, or STEM degree (Desirable) or commensurate experience 10+ years of total software engineering experience 2+ years support a production system on a DevOps team 2+ years of experience running and building systems in cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure.
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This is a strategic position that utilizes data mining, big data, analytics, data science and visualization tools to generate unique and creative points of view that help advance a holistic and statistically driven view of market dynamics (Through the lens of total delivered costs.
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big data science jobs in Georgia
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