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Master’s degree within a highly technical/quantitative discipline (Data Science, Statistics, Computer Science, Mathematics, etc.) Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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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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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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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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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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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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AWS Solutions Architect or AWS Big Data Certification preferred. 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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Title: Senior Data Engineer - Big Data. Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies. 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.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Principal Data Scientist, Marketing Data Science , you will lead the development of world-class analytics within the Walmart US Marketing team. Experience leveraging cloud based big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Draw on experience with Github, machine learning, advanced programming in SQL and Python, Cloud computing such as AWS, Google and Azure, Tableau, and Simio to design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient manner by leveraging advanced understanding of statistics and data science.
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper communication skills to relate pertinent data or information about the patient or laboratory sample to appropriate care provider.
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Stores and processes large data sets using big data and Cloud technologies Hadoop, Snowflake, and Amazon Web Services (AWS). Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and six (6) years of experience as a Director, Data Analytics and Insights (or a closely related occupation) applying data analytics of unstructured and semi-structured data to inform strategic business decision making.
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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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Experience with either:Developing data- and outcomes-driven approaches to delivering digital learning experiences either as an instructor/educator, content creator, editor, instructional designer, or learning experience designer, orAt least 5 years of experience in educational publishing; educational content creation; teaching experience in high schools, community colleges, or universities; and/or creative roles within edtech.
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data science big jobs Title: scientist Company: Tech Kinect in Newark, NJ
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