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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Collaborate with cross-functional teams to integrate data solutions with existing data platform systems and applications, integrate new data management technologies aligned with the latest vendor products & capabilities (Microsoft Azure and Fabric, Databricks, Snowflake, Collibra, etc.
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The Business Technology (BT) Sr. Cyber Risk Analyst is responsible for risk identification and management across the BT department and the overall American Heart Association organization.
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The Market President will establish and leverage strategic relationships with executive leadership of health systems and health plans in order to develop and grow business partnerships for the company within the assigned geographic region.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Primary duties of the Trash Collector include: - Operating garbage trucks - Collecting and dumping trash receptacles - Following route assignments as directed Waste Management offers an excellent benefits package that includes medical, dental, vision, life, 401(k) savings and more.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Lead customer & business intelligence and analytics function (i.e. competitive analysis, market intelligence, demand mapping, customer needs states, customer profiling, etc.) + Understanding of business intelligence and analytics tools and methodologies used to identify and assess new growth opportunities.
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Job Description We are currently hiring a hands-on Gen AI, AI and ML Ops Engineering Lead within Data Digital and Technology (DD&T) function which is a part of Oncology Business Unit at Takeda and the Data Management Team. This is an individual contributor role, so you should be prepared to roll up your sleeves and flex a wide variety of skills.
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This is an exciting new role where the successful candidate will be responsible for 3D data management, setting the strategic direction for BIM and digital asset information within the company and ensuring that the processes associated with creating and managing asset data fulfils the business requirements and are in keeping with best practices.
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ORPhD or equivalent in Policy Analysis or any technical discipline, Health Services Management, Public Health, Epidemiology or Business; or MPP, MPH, or Master’s degree with 5 years of relevant professional experience in a technical discipline with demonstrable proficiency in formal methods of decision support analysis is required.
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BAIN CAPITAL CREDIT OVERVIEWBain Capital Credit founded as Sankaty Advisors in 1998, is a leading global credit specialist with approximately $57 billion in assets under management. KEY RESPONSIBILITIES Maintain the operational aspects of Bain Capital Credit’s middle market CLO’s and fund financing arrangements across a spectrum of private credit funds, including Bain Capital Specialty Finance, a registered business development companyPreparation of borrowing requests and ongoing facility reporting requirements for credit facilities.
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Collaborate with cross-functional teams to integrate data solutions with existing MGB data platform systems and applications, integrate new data management technologies aligned with the latest vendor products & capabilities (Microsoft Azure and Fabric, Databricks, Snowflake, Collibra, etc.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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Work collaboratively with the team to create and document policies regarding data usage, users, the Institutional Review Board (IRB), and the privacy committee. A bachelor’s degree in a related field (e.g., Data Science, Statistics, Computer Science, Applied Mathematics, Economics.
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