Top Data & Analytics Jobs
Looking for a Health Informatics Specialist with expertise in HL7, FHIR, JSON, and promoting interoperability. Responsible for FHIR implementation, data integration, standards compliance, quality assurance, education and training, documentation, and reporting in healthcare data exchange standards.
Seeking a highly skilled NLP Scientist to develop innovative NLP/AI solutions for life sciences. Responsibilities include leading research, strategy, design, and implementation of NLP/AI products, collaborating with internal and external teams, developing cutting-edge NLP algorithms, mentoring junior team members, publishing findings, and engaging with the scientific community.
Business Operations Analyst II role at DISH, responsible for analyzing transportation data, developing reports on freight costs, and improving shipping processes. Requires 2+ years experience in transportation and 1+ years in data analysis in manufacturing/logistics.
Featured Jobs
Seeking a Senior Data Engineer to join the Data Connect team at Adyen in Chicago. Responsibilities include designing, developing, and operating ETL/ELT pipelines in PySpark, building data products, and spreading data analytics best practices.
Seeking an experienced Analyst Relations practitioner to drive the execution of the company's AR strategy and partner with key stakeholders. Responsibilities include managing relationships with industry analysts, executing AR programs, and advising on analyst contributions to marketing campaigns.
The Audience Addressable analyst will partner with all business partners within Effectv to support the growth, use, and performance of our Addressable products.
The Manager, Data Analytics at Disney Music Group is responsible for data analytics, reporting, and quantitative research to inform planning and decisions. They lead the development of analytics tools to understand user behaviors in music marketing and consumption channels. The role requires deep curiosity in data, applied knowledge of measurement and statistics, and the ability to communicate data-driven insights effectively.
The Executive Support Analyst is responsible for delivering day-to-day IT services and solutions to executives, monitoring service delivery, coordinating support problems, handling customer concerns, and implementing continuous improvement activities. The role also involves assisting in strategic planning exercises, adhering to company policies and standards, and providing after-hours support as needed.
As a Senior Data Scientist at Square Banking on the Square Loans team, partner with stakeholders to shape and execute strategies for international lending products. Design and lead A/B testing, influence product roadmap, and own business metrics for measuring success.
Quality control analyst position focusing on reviewing compliance decisions, providing feedback, conducting training, and recommending enhancements to global Compliance procedures. Remote position with international work hours.
As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business. This is a product-focused modeling role with immediate customer and financial impact.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
Develop end-to-end ML applications to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Opportunity to impact real-world industries and work on scalable technology innovations.
The Data Scientist at Novo Nordisk is responsible for leading the development and delivery of analytics solutions, exploring new data-driven approaches, validating and presenting data findings, and collaborating with various teams within the organization. The role involves developing new standards and practices, contributing to the Scientific Analytics strategy, and building internal relationships.
Leads observational research studies through the analysis of real-world data, drives innovation in RWD analytics, serves as a subject matter expert on real-world data sources, and collaborates with internal teams to support evidence generation plans.
Develop processes and governance for research projects using Real World Data for AI & Analytics teams. Collaborate with cross-departmental teams, assist in procurement and legal review, implement new processes with Real-World Data Stewards, and drive innovative projects in the clinical development space.
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