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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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Data modalities include cutting-edge highly multiplexed imaging-based spatial single cell proteomics, NGS-based spatial transcriptomics, tumor and germline DNA sequencing data, RNAseq and harmonized detailed epidemiological, lifestyle and clinical data from ethnically diverse colorectal cancer patients.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability combining science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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Job Title: Data Science Engineer. Specialized Area: Data Science. Data Warehousing experience with Oracle, Redshift, Teradata, Snowflake, etc. Job Summary We are looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company’s DTCI group as a Data Analyst in the Data Platform and Analytics team.
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You will be a successful applicant if you have a technical degree such as Chemistry, Chemical Engineering, Biology, Mechanical Engineering, Microbiology, Environmental Science, Paper Science, or Water Resources.
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Partner with Data Science & Engineering teams across CSCP and other organizations to augment our own capabilities as needed. Advanced Analytics & Data Science: Integrate advanced Analytical and Data Science techniques including AI/ML, Simulation and Optimization into our operational and decision-making processes.
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Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft, to credit card fraud, to money laundering, and more.
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Partner with the Data Science team and introduce new capabilities to optimize the Databricks usage for performance and cost. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics.
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This candidate will primarily assist with regulatory compliance efforts for federal, state, and local environmental projects in CDM Smith’s portfolio, with focus on fisheries science, protected species, floodplains and wetlands, stream and habitat assessments, and associated permitting tasks.
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Remote Data Entry / Part Time Full Time Work at Home. Part Time Data Entry. Remote Data Entry / Part Time Full Time Work at Home. WFH Apply to entry level work from home gigs that are suitable for: Administrative assistants, customer service reps, entry level workers, retail workers, amazon workers.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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data science jobs Company: Kpmg in Kirkland, WA
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