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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. · Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are looking for a Manager Data Science to lead our Global Data Science team. You will need to work with Project managers to ensure Data Science deliverables are on-time and identify any risk upfront.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Provide project management and guidance in data science and analytics to support Federal Defense & Security clients, starting with TSA. 8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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Specifically, this project will support ONDs Integrated Review for Drug Marketing Applications program by providing comprehensive safety data analyses for new drug applications (NDAs) and biologics license applications (BLAs) in collaboration with clinical reviewers.
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Alternative education and experience required: Bachelor's degree in Data Science, Machine Learning, Software Engineering, Statistics, Operations Research, or related field and 8 years of progressive, post-baccalaureate experience as Data Analyst or Scientist, Machine Learning Engineer, Statistician, Business Analyst, or related role.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Director of Data Science & AI Research Chemistry. An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations.
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data science jobs Title: project manager Company: Syneos Health
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