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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker. Experience with data transformation orchestration tools like dbt or Dataform.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as. Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Drive the adoption of agile methodologies and DevOps practices to ensure efficient and high-quality data engineering processes.
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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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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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VP, Portfolio Management Data Science. 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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Has expert knowledge of standard data science and statistical techniquesHas expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual banditsExperience implementing scalable systems (Google Cloud preferred.
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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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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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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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data science jobs Title: high school science teacher in Newark, NJ
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