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Data Strategy: Oversee and direct the Data Science team on advanced audience query definition and development. Attribution Deployment: Lead team in coordination with Data Science on attribution deployment and data collection.
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Contributions to data processing, analyses, and interpretation are expected, alongside overseeing a team of scientists and engaging with science leaders at biopharma partners for strategic and scientific planning.
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Feature Prioritization and Delivery: Collaborate with Product Management and Data Science partners to prioritize features and guide delivery timelines. Establish clear communication channels and ensure understanding between engineering teams, architecture, data science, and product.
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Experience of working with data science platforms - especially DataIKU or databricks. Quantitative and data science skills, for example knowledge of statistics, probability theory, optimization or machine learning.
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Bachelor's degree in computer science or related field and five plus years’ experience in information technology or equivalent progressive experience with data engineering and data warehouse technologies with a focus on the Azure platform in the past five years to present.
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The college includes programs in biology, chemistry and biochemistry, environmental science and studies, health sciences, mathematics, neuroscience, nursing, occupational therapy, physics and astrophysics, psychology, and speech language pathology.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem using ADLS. Bachelor’s degree in computer science or a similar field with 5 Years experience as a data engineer or SQL developer.
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Work closely with various Business, IT, Analyst and Data Science groups to collect business requirements. Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines.
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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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The candidate will have an opportunity to lead projects for future market innovations with on-the-job training in a variety of laboratory and processing techniques, lean innovation methodologies and data analysis tools related to practical polymer science and engineering problems.
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7+ years of data science experience with a focus on algorithmic product development, with a history of successfully driving measurable business impact. The Role *Lead a variety of algorithmic product implementations leveraging core algorithmic data science, ML, and AI capabilities to drive measurable business impact.
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Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications. Leverage AWS cloud services for data storage, processing, and analytics, optimizing cost and performance with CloudFormation and Jenkins.
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Assist in field data collection, management, and analysis to support environmental assessment and impact studies, hydrodynamic modeling, habitat restoration, and other similar projects. Bachelor's degree in Biology, Environmental Science, Fisheries, Ecology, Natural Resources, Environmental Planning, or a related field.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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data science processing jobs Title: product manager in Chicago, PA, Us
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