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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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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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Advanced degree in climate science, atmospheric science, Earth science, data science, environmental science, or a related field. Minimum Qualifications: Bachelor's degree in climate science, atmospheric science, Earth science, data science, environmental science, or a related field.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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Our team collaborates multi-functionally across the DTC organization and partners with different business functions such as Data Science, Business Operations, Product, Marketing, Engineering, Finance, and more to generate insightful, compelling, and strategic analyses and recommendations.
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Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions.
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Masters, NP, PA) or Terminal science degree desirable (PhD, PharmD, MD)Typically requires a minimum of 5 years of experience as a MSL, or in other medical affairs roles in the pharma/biotech industry or the equivalent combination of education and experience*There are multiple field-based regions in the North West. The successful candidate must live within the identified territory near an airport and be willing to travel routinely based on business needs.
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10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Bachelor s degree (or foreign education equivalent) in Analytics, Data Science, Advanced Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, or a closely related field and five (5) years of experience as a Senior Manager, Data Science (or related occupation) researching and building scalable AI solutions using ML and Natural Language Processing (NLP) models and technologies to improve customer experience and drive business results.
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Experiencewithmodern data technologies/stack such as cloud services (AWS, Azure, GCP), Containerization (Docker, Kubernetes), Databases (Redshift, Snowflake), Programing languages (R, Python, SAS), VCS and CICD (GitHub, GitLab, CodeCommit, Jenkins, CodePipeline.
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data science jobs Company: Agoda in Hoboken, NJ
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