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Subject matter expert for analytical tools and techniques, primarily in business intelligence platform management (Tableau, Looker, PowerBI, Domo) and supporting tools (dbt, git) Hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, or other platforms.
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The Manager, BI Product Development is responsible for guiding and supporting all facets of CRM analytics projects. As required/appropriate, perform hands-on data investigation and analysis in support of program delivery, including development of conclusions and implications.
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As a Data Product analyst for the Operations pod, you will play a key role in delivery of the end-to-end data lifecycle for the UDP solution, from data ingestion to building data pipelines (both upstream and downstream integrations), to reporting solutions development or deployment of data science models for a specific business domain.
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Lead major strategic, cross-functional initiatives in alignment with the Chief Strategy Officer (CSO), Chief AI Officer (CAIO), and Product Management to develop a data single source of truth, business intelligence, advanced analytical capabilities (ML/AI), process automation (robotics), and multi-cloud capabilities across lines of business and corporate functions.
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In this role, additionally, to build and nurture relationships with clinical customers as it relates to participating in clinical studies, the incumbent is responsible for supporting the product management group including but not limited to market research, product development, product launch, product changes, post-market surveillance, and product obsolescence.
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Collaborate across the enterprise to provide legal support during product development lifecycle and establish appropriate relationships with responsible members of relevant groups, such as product strategy, sales, marketing and communications, privacy, compliance, RAI, information security, risk management and litigation to ensure coordinated and appropriate processes to support business strategy while mitigating risk.
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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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A proven track record of administration, engineering, and operationalizing Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases. As an AWS Databricks Administrator within this Data Services team, you will be putting your Databricks knowledge and experience to work as you collaborate with teams of Data Engineers, Infrastructure and Product Managers to build and maintain the new data infrastructure platform for all of Live Nation and Ticketmaster.
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Design and implement a data driven operating model across the company; oversee data strategy, data architecture, data governance, reference and master data, data analytics and data product management functions across the enterprise.
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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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As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Satwik Mysore, Risk Engineer Territory Lead: After graduating with an actuarial science degree, Satwik has spent most of his career at Travelers, where he built one of the largest and most profitable management liability books by forming strong broker relationships.
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Ability to perform management and Design of Data resources and catalogs using a combination of Informatica Axon & Enterprise Data Catalog. The Lead Business Data Architect will have expertise in cloud/prem platforms and data framework to support the enablement of data engineering and analytics capabilities; ultimately driving a harmonized and integrated data ecosystem to support Serviceability & Spatial Analytics.
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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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product management business development data science jobs in Atlanta, MD, United Kingdom
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