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Vertex AI and BigQuery:o Hands-on experience with Vertex AI for generative AI solutions and BigQuery for data storage and analytics. BigQuery Storage:o Design and optimize data storage solutions using BigQuery Storage.
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Preferred Experience: Data scientist, quant, developer or similar in an FSI company using GPU’s Specialized FAE or technical sales role selling HW accelerators into the FSI industry Existing network within the FSI Ecosystem Experience with GPU’s or other accelerators Academic Credentials: Technical degree or relevant experience necessary.
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2 years of experience using graph database, neo4j data science library, developing fraud detection solutions. Master's Degree in Computer Science or Data Science. -Developing predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting the Enterprise Data Warehouse.
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Thornton Tomasetti, Inc., seeks Senior Engineers – Applied Science in New York, NY.Performs advanced analysis and research on engineering problems which may include, but are not limited to: acoustics, wave propagation, blast, shock, impact, nonlinear mechanical, computational fluid dynamics, thermal, and coupled fields.
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The ideal candidate will have a strong background in quantitative finance, statistical analysis, and programming, with a keen interest in leveraging data-driven insights to drive trading decisions.
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At least 10 years of professional experience as a Data Engineer using Python, Spark, PySpark, and SQL in AWS environments. We are looking for a Senior Data Engineer to manage the Data Journey of one of the client's main products.
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KPI monitoring, trend analysis, Utilizing the data to make business decisions, Deep diving to perform root cause analysis, performance improvement, driving the team towards company's goal. Minimum 5 years of experience using Excel, Google Suite and ability to handle large amounts of data, creating pivot tables, data visualization and make informed decisions.
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The role requires strong analytical skills in analyzing data related to Prime Services such as reference data, securities lending data etc. As a Technical Analyst for the Prime Services Data Interface (PSDI) platform (central operational data store and data warehouse for the Prime Services transaction processing systems), you will work with business stakeholders in developing and designing solutions and documenting functional specifications.
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Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models. Experience: 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling.
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Cactus Communications is a science communication and technology company. Cactus Life Sciences is a subsidiary of Cactus Communications (cactusglobal.com/), a leading science communication and technology company.
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The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support our data science and analytics initiatives.
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Certifications/Licenses Required Knowledge, Skills, and Abilities Applicants must have a PhD in biomedical science or engineering (or a closely related discipline), and an excellent record of scholarship as evidenced by publications in peer-reviewed scientific journals and scientific presentations in national and international conferences.
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Basic Qualifications:Bachelor's Degree complete or in progress preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related fieldA minimum of (6) six years of overall experienceFamiliar with JavaSrcriptExperience with JSON parsing and YAMLExperience interacting with RESTful APIsExperience with scripting languages like Python, Bash, and PowerShellExperience with TLS/SSL to secure data in transit.
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Exiger is a cutting-edge supply chain risk management (SCRM) software-as-a-service (SaaS) solution with scalable offerings, which use data to help corporations intelligently surface risk in business relationships.
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What you'll need to succeed Masters' degree in Computer Science, or equivalent experience. Expertise in SQL DB, No-SQL DB, Web Services, Data Intensive applications, Data Processing pipelines.
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data science jobs Title: full stack software engineer in Newark, NJ
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