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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
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Majoring in: Human Factors, Ergonomics, Safety, Sustainability , Biology, Chemistry, Safety, Industrial Hygiene, Environmental Health, Environmental Science, Data Analytics, Data Science, Statistics, Computer Science, Mathematics, Physics, or related.
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We're looking for a sharp analytical thinker who's adept at financial modeling, data science, AI/ML modeling, and Model Risk Management to join our Advisory practice. Working across industry sectors, we bring deep experience in data science, AI, modeling, and Model Risk Management.
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You will help analyze industrial hygiene data, work alongside experienced industrial hygienists, and help increase compliance and develop solutions for exposure reduction. Interns will have the opportunity to engage on environment, social and governance related topics, gaining skills which include benchmarking, data analysis, project management, change management, strategy development, executive presentation development, communication, and cross-functional collaboration/network building.
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As equivalent, employer will accept a related Master's degree in Computer Science, Computer Engineering, Telecommunications & Network Engineering or related and 2 years of software development experience with 2 years with Airtable, Alteryx software, Angular, Apache Hive , Docker, DynamoDB, GraphQL, Hadoop, Informatica, Jenkins, Matplotlib, PostgreSQL,Power BI, Python (Pandas, NumPy), R, SAP Power Designer, Snowflake,Spark, Splunk Enterprise, Tableau, Teradata.
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3+ years of relevant Financial Services Industry work experience specifically in areas such as data science, AI, and/or model development, validation, governance, financial instrument pricing, risk management, or data analysis.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Experience: You have Ph. D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing, Image Processing, Computer Vision, Data Science. You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
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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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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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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
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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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data science jobs Company: Vector Marketing in OK, Germany
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