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Have experience with Oracle suite of Cloud products and services including Oracle DB, Oracle Autonomous Data Warehouse (ADW), Oracle Analytics Cloud(OAC), and Oracle Data Science Services.
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Lead Data Scientist. Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions to solve complex government challenges. Experience in querying and manipulating data for analysis — EDA, statistics, and visualizations.
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Oracle Digital Government group is on a mission to support national governments on their digital transformation journey. Must have experience working with Oracle Cloud Infrastructure or large industry cloud environment, with an understanding of.
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Address business/customer problems and questions using statistical and data science techniques to achieve business goals and KPI's. Provide proactive leadership, demonstrating self-sufficiency, influencing, and team-building skills while creating and socializing innovative data science-driven solutions.
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Experience with Oracle suite of Cloud products and services including Oracle DB, Oracle Autonomous Data Warehouse (ADW), Oracle Analytics Cloud(OAC), and Oracle Data Science Services or equivalent.
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Experience with data science programming languages such as R and Python. 7+ years’ experience in analytics & applying data science to solving real-world problems. Experience with Analytics tools such as Oracle Analytics Cloud (OAC) or Tableau.
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Work closely with business teams and customers to understand business requirements, and implement new data science-driven insights. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
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Work with other Engineers to validate that data from internal and external sources is relevant, trustworthy and actionable and ensure the platform provides required data and level of granularity for advanced Data Science projects to augment Cloud applications and provide Management Insights.
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An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities.
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Collaborate with engineering to build pipelines and tools for data ingestion, feature engineering, model training, model deployment, and improvement. Identify meaningful insights from complex data sources; interpret and communicate insights and findings to engineering teams and leadership.
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Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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Interacts with product and service teams to identify questions and issues for data analysis and experiments. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability.
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Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
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Oracle is an Equal Employment Opportunity Employer. At Oracle, we don’t just value differences—we celebrate them. Establish scalable, efficient, automated processes to boost team productivity, such as model development, model validation, and model implementation.
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Title: data scientist Company: Oracle
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