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Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
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Computer Science, Customer Due Diligence (CDD), Data Analysis, Data Integration, Data Manipulation, Data Mining, Data Quality, Data Visualization, Data Visualization Tools, Enhanced Due Diligence, Machine Learning, Microsoft Power BI, Process Optimization, Statistical Analysis System (SAS), Structured Query Language (SQL.
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Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention strategies Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed.
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The Data Science team within the Buy Technology organization supports automation and data integration initiatives at Nielsen. These responsibilities include developing and implementing production solutions that leverage Machine Learning, Natural Language Processing, Entity Resolution and big data solutions.
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Defining industry-specific solution sets, system integration points, data migration requirements, and cybersecurity and other regulations and standards. Creating and maintaining industry specific sales enablement tools such as Industry Roadmaps, Statements of Direction, Industry Overviews and learning materials for IFS Academy.
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As a member of the TMW Center’s wearable team, the Data Science Analysts will develop, test, and validate existing machine learning algorithms, train new algorithms, lead ETL efforts, and partner with other team members and vendors to connect the algorithm, hardware and firmware pieces together.
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Future projects as highly loaded SaaS web-based services for automating business processes in the field of medicine, insurance, finance, energy, including modules for processing large data arrays, billing subsystems, integration with external data sources, mobile applications, and IP telephony systems.
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Proficiency with tools and technologies like: Python Libraries: Scikit-learn, TensorFlow/PyTorch, Pandas Azure Services: Azure Cognitive Services, Azure OpenAI services, Azure Machine Learning, Azure Databricks, Azure Data Factory.
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Contribute to program development that furthers the integration of social emotional learning, behavior interventions, and problem solving in the classroom. Actively participate on the various building and district-level Multi-Tiered Systems of Supports (MTSS) Teams, meetings, and data reviews.
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Demonstrating continuous, focused evangelism of IFS and the IFS Cloud product via public speaking, presenting at industry events, and social media engagement. Working in IFS Industries team, in conjunction with the Aerospace and Defense Industry Vice President, you will be regarded as the global Aerospace & Defense Industry “thought leader” across the rapidly growing IFS A&D Market Segments with a particular emphasis on defense manufacturing.
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Subject matter expertise in cloud services and/or working with ecosystem partners in the cloud infrastructure, data, AI and machine learning, security, SaaS applications, and middleware services are positives but not requirements for this role.
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Data Integration: Integrate data from disparate sources, both structured and unstructured to provide a unified view of key infrastructure platform and application data. Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.
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Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development.
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Using innovative technology, data and marketing products, best-in-class learning and support services, and high-quality lead generation programs, Realogy fuels the productivity of independent sales agents, helping them build stronger businesses and best serve today’s consumers.
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This critical system not only requires ongoing production maintenance but also demands enhancements through integration with Machine Learning (ML) and Master Data applications. Exposure to various design patterns within the data engineering paradigm is crucial for success in this role.
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data learning integration jobs in Mt Prospect, IL
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