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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). Familiarity with housing and economic datasets a strong plus (i.e. demographic data such as Census, Claritas and economic time series data such as provided by Moody's Analytics and micro data such as IPUMS and other loan-level mortgage databases.
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Minimum of 1 end-to-end SAP Master Data Governance implementation. Minimum 3 years of experience with/in SAP Master Data Governance. Accenture’s SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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If you are a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech, keep reading. We're looking for a passionate Principal Data Scientist with hands-on predictive modeling experiences and in-depth knowledge of consumer lending products.
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We are looking for a hands-on machine learning engineer who is passionate about crafting, developing, and deploying cutting edge AI/ML solutions which will impact millions of customers.
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Participate in soil recharge studies involving horizontal directional drilling, measurement of water content using various sensors and geophysical instruments, data processing and related research activities.
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Cirrus Logic's Hardware organization is seeking innovative Analog IC Design Engineers to join our team developing high-performance data converter ICs and amplifiers for consumer markets. Cirrus Logic's Hardware organization is seeking innovative Analog IC Design Engineers to join our team developing high-performance data converter ICs and amplifiers for consumer markets.
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Assist in the third-party risk management process and acts as escalation point for review and negotiation of contracts addressing legal concerns relative to the sharing and use of consumer data.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Develop state-of-the-art UVMf-based top-level and module-level testbenches using block-to-top best practices for reusability, including both control and data plane stimulation using VIP & System Verilog DPI-C integration with existing MATLAB and Python numerical models.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Machine Learning Engineer, AI Software Solutions THE GROUP: AI is defining the next era of computing, and this is just the beginning. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Leverage complex price transparency data (Clarify, machine files, websites, etc.) Must be proficient in MS Excel (Power Pivot fundamentals and basic DAX measures a plus), understand healthcare data inside relational databases (e.g. SQL) and have creativity in data storytelling (e.g. Looker, Power Pivot, Power BI, Tableau.
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Application of human-centric approaches for strategic initiatives with cross-functional groups across 3PX and Private Pricing operationalizing data (i.e. Voice of Customer, UX research insights, operational & commercial data) to define and invent creative solutions.
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big data jobs Title: machine learning engineer platform in Austin, TX
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