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The role:SoFi’s Senior AI Specialist - GenAI, NLP (Banking/Financial Services) is a critical hands-on engineer position in SoFi’s growing independent risk organization focussed on applying data processing/reporting and practical artificial intelligence techniques to solve real world problems.
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Job Description: Prepares permits and collects permit data associated with mining which include but are not limited to: Title V Air Permit Industrial Wastewater Permits (NPDES) and Stormwater Permits.
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This role requires strong knowledge in database management, authentication protocols, 3D rendering, and data visualization. Experience with 3D rendering libraries (e.g., PyOpenGL, Panda3D) and data visualization tools (e.g., Matplotlib, Plotly.
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Proficient in CATIA v5 for parametric 3D data and drawing preparation. Develop design data in 3D and create 2D drawings using Catia V5. For more than 30 years, we have been helping our customers integrate electronics and controls with mechanical design to expand product value, develop AI, simulation and data-driven digital twins to drive better decisions, and deliver advanced HPC and cloud solutions to support unlimited idea exploration.
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Knowledge of ETL processes, data pipelines, and workflow automation tools like Apache Spark and Apache Airflow. Implement ETL processes and data pipelines using tools like Apache Spark and Apache Airflow for workflow automation.
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Enters data and assists with compiling reports and analysis on the grievance and appeals process. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of those we serve in New York and beyond.
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The ideal candidate will have a strong background in SQL Server development, hands-on experience with Azure Pipeline, and proficiency in working with Databricks for data processing and analytics.
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Information derived from our SAR images helps customers make data-driven decisions to address time-critical challenges in various sectors, such as maritime, disaster management, insurance, and finance.
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REQUIREMENTS: Bachelors degree in Business/Accounting /Finance or related from an accredited institution and five (5) or more years construction accounting experienceExperience working on projects valued at 150 million or more in the greater NYC areaKnowledge of general construction accounting, auditing, payroll, and invoicingRequires the ability to maintain data integrity and accuracy and use data to identify and solve problems.
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Reviews and analyzes collective grievance and appeals data along with audit results on unit's performance; analyzes and interprets trends and prepares reports that identify root causes of member dissatisfaction; recommends and implements process improvements to achieve member/provider satisfaction or operational effectiveness/efficiencies which contribute to Molina Medicare's maximum STAR ratings.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark.
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Strong business andor technical background in the areas of Master Data Management Data Quality Data Governance Data Integration ETL SoA and Data Security. Deliver end-to-end master data management projects for our customers that includes but not limited to Designing data model MDM Hub configuration.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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The Executive Director will lead a team responsible for alumni programming, alumni/student programs, alumni data collection and analysis, alumni communications and platforms, and volunteer management.
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Work with the Data Specialist and/or PSO partners to harvest data and set strategies to optimize earned revenue. Work with the Data Specialist and/or PSO partners to initiate surveys, data collection vehicles, analysis, and interpretation of data.
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data job Title: scientist Company: Deloitte in Newark, NJ
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