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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Work as a Teaching Assistant (TA) for the Forensic Science Initiative (FSI) - a 15-week offering organized by the Center for Pre-College Programs and the Forensic Science Program within the Department of Chemistry & Environmental Science at NJIT. The FSI program uses Forensic Science to strengthen underserved public high school students' STEM knowledge, skills, and preparation for college work.
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Experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark. Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
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Role:Design, develop, and maintain high-performance, scalable, and secure Java applications Implement distributed processing solutions using multi-threading and multi-processing orchestration Develop cloud-based applications on Azure, with experience in OpenShift being desirable Write efficient SQL queries, stored procedures, and create views for relational databases Analyze data and perform data transformations using tools like SSIS Script automation tasks using Python.
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Data services layer including ATHENA, redshift, RDS, microservices and APIS. Migrate data from traditional file systems and NAS shares to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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Position Summary: The Senior Manager of Data Analytics predominately uses a tech stack of Power BI, SQL, Visual Studio Code, Snowflake, and Excel to answer questions to data that is ETL’d from our ERP, CRM, and various internal and external data sources.
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Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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Champion a culture of innovation and creativity within the data science team and the company. Help build out the data science team while mentoring junior data science team members.
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Experience developing intraday equity trading signals, from multi sources of data, including but not limited to raw streaming market data. Conduct research across a variety of quantitative trading strategies involving high frequency market data.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Must have a Bachelors of Science Degree in Medical Technology/Immunology/Biology or other Life Science disciplines from an accredited college or university. Ability to define problems, collects data, establish facts and draw valid conclusions.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Process tissue samples for subsequent molecular or histological analysis including perfusion, dissection and slicing, immunohistochemistry, imaging acquisition, and data analysis. Independent scientists with a strong command of neuroscience-based in vivo and ex-vivo techniques, molecular biology and biochemistry are encouraged to apply.
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You will join the small but tight-knit TIDAL Data Science & Analytics team, and will report into the Head of Data Science & Analytics. Fluency with data, analytics and visualization technologies (We use SQL, Tableau, Looker.
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data science jobs Title: scientist Company: Tech Kinect in New York, NY
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