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Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Minimum 12+ years of experience working in financial services with a strong understanding of investment management dataPreferred QualificationsCFA certificationSubject matter expertise with the Financial Asset Management Industry domains along with experience with external vendor products Including Eagle Data Management, Rimes, BlackRock Aladdin, State Street, Morningstar, and Bloomberg.
$150,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Science, Computer Engineering, Information Technology, or related field of study plus five (5) years of experience in the job offered or as a Software Engineer, IT Project Manager, IT Consultant, or related occupation.
$169,229 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and maintain data pipelines and work closely with data engineering team to migrate the production databases to Cloud via Snowflake. Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions.
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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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Master’s degree or PhD in Computer Science, Electrical Engineering, Computational Linguistics, Statistics, Applied Mathematics, or similar major. Accenture Federal Services is seeking a AI/Data Scientist to tackle their toughest security and readiness challenges with advanced data and AI solutions.
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PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field. Research and develop data platforms (open source, commercial) where this platform can be used widely across multiple business services including battery, supply chain, marketing, mobility, chatgpt for support, etc.
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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data engineering financial services science jobs Company: Dice in Bentonville, Kansas
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