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Data Scientist in Data Science & Advanced Analytics team is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients.
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Must have hands-on experience performing multi-color flow cytometry experiments, including sample preparation of primary immune cells for immunophenotyping, data collection on digital instrumentation, and analysis of results.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. The incumbent will lead and help to develop a newly formed data-scientist team in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation.
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Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
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If you are in the market for a new opportunity, JRD Systems is looking to hire a Lead Cloud/ Data engineer for Azure, that would be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.
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As a Computational Scientist/HPC Engineer, you will play a crucial role in developing and optimizing high-performance computing solutions for their cutting-edge projects. Our client is seeking a highly skilled and motivated Computational Scientist/High-Performance Computing (HPC) Engineer to join their team.
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Data ScientistPrimary Location: Manhattan, New York V-Soft Consulting is currently hiring for a Data Scientist for our premier client in Manhattan, New York. Education and Experience » Masters degree or higher in statistics, computer science, mathematics, economics, engineering, or other technical field.
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Responsible for performing field data collection and sampling (soil, groundwater, soil vapor, and surface water), and office tasks (including field activity planning, preparation, and summary reporting) to support petroleum and hazardous waste site investigations under New Hampshire Department of Environmental Services - Contaminated Site Management Programs, Massachusetts Contingency Plan, and other similar New England state programs.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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This scientist will be expected to work in a highly collaborative team environment, supporting projects with the supervision of senior scientists. The scientist will be responsible for supporting or executing these plans to meet agreed-upon deliverables and timelines.
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Strong understanding of current data engineering concepts, techniques and technologies; e.g. data contracts, software engineering design patterns, Airflow, DataFlow, Spark, BigQuery, Snowflake, DataBricks etc.
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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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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Proven experience working with Snowflake, DBT, Fivetran, AWS Glue, Python, SageMaker, DB2, SQLServer, and Informatica technologies in a data engineering or analytics role with 8-10 years of experience.
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Data Flow, ETL, AWS GLUE, Athena Redshift, Some EKS, Databricks, Data Pipeline building. Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions.
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Title: data scientist Company: Atlas Ai in Hoboken, NJ
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