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Description: Johnson & Johnson Innovative Medicine is recruiting for a Senior Data Scientist in Business Technology located in Titusville, NJ, or Horsham, PA. The Commercial Data Sciences team is looking for an extraordinary scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for Johnson & Johnson.
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Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing. Implement advanced data governance strategies, including metadata management, data lineage tracking with tools like Open Lineage, and comprehensive data cataloging using Datahub.
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Create and maintain testing data sets to verify NLU performance. Clean, label, and prepare training data. Experience building ML model data sets. Experience in data analysis.
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Technical Development Research Scientist: Assay Development. Sound writing and documentation skills; ability to perform data analysis using Excel, Minitab or JMP. Maintain data records and analysis in electronic laboratory notebooks and perform data analysis including basic statistics to evaluate method performance.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc. Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science.
$78,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Penn Center for Causal Inference (CCI), within the Department of Biostatistics, Epidemiology and Informatics, is seeking a full-time Data Scientist to support a research team of faculty members, postdoctoral researchers, students, and external collaborators.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) To build this topology graph, ROCI consumes data from a number of BSS/OSS, construction, provisioning, planning, and monitoring platforms to create linkages previously unseen across the company.
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4+ years of experience with data science, including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sci-kit-learn, TensorFlow, PyTorch.
$163,100 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Evidence-to-Impact Collaborative within the Social Science Research Institute at Penn State University, University Park, is seeking applicants to direct the PSU Administrative Data Accelerator.
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We are looking for an experienced Research Scientist to join an exciting and rapidly growing immunology/immuno-oncology startup company in Philadelphia, PA! Ability to analyze data independently and construct graphs in GraphPad/Prism or Excel.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with offices in strategic hubs of commerce, law, and government across North America, Asia, Europe, and the Middle East, is seeking to hire a Data Privacy Counsel to join our growing Privacy Office in the Firm’s Office of General Counsel.
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Title: Data Scientist. 4+ years of experience in the Data Science and Machine Learning techniques. Certifications or courses in data science, analytics, or related fields. Looking for individuals with 10+ years of experience implementing and managing Data science projects.
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Job Title: Jr. Big Data Engineer (Urgent hiring) Familiarity with data visualization tools such as Tableau or Power BI. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Title: data scientist Company: Orbis Inc in Philadelphia, Phenix-city, Alabama
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