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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Experience with data collection and investigation in Cloud technologies. 6+ years of experience using eDiscovery collection and processing software (Relativity, Brainspace, Google Vault, etc.
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Must be dual certified within 1 year of employment (Water Distribution Operator license and Wastewater Collection System Operator license. Water Distribution Operator license or Wastewater Collection Systems Operator license is required for employment.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Associates Degree in laboratory science (Chemical or Biological Science) or medical laboratory technology from an accredited institution and certification as a Medical Technologist. Bachelor’s degree in a chemical, physical, biological or clinical laboratory science or medical technology from an accredited institution and applicants must be certified.
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The Lead Field Service Technician will troubleshoot, diagnose and repair the McNeilus Volterra, North America’s first fully integrated electric refuse collection vehicle. McNeilus produces a complete line of high-performance rear load, front load, and automated side load refuse bodies to augment any refuse collection fleet.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. We are seeking a skilled and experienced Data Engineer with expertise in Databricks, Azure, and Spark to join our dynamic team.
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The science and social studies teacher will be part of a team that is committed to learning and growing together through a process of collaboration and coaching. This teacher may be responsible for teaching middle school and high school science and social studies courses; in addition, many of our teachers get the opportunity to provide language development and acquisition support by teaching a section of Language Support.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. 6 years of customer data analysis experience / advanced analytics capabilities in Voice of Customer research (CX, UX, EX.
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data science collection jobs Company: Google in Atlanta, AR, France
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