Product Analyst Healthcare Data Science
A company is looking for a Healthcare Product Analyst.Key Responsibilities : Assisting clients in designing, implementing, and supporting web applicationsBuilding, configuring, and updating user interfaces to meet client-specific needsTesting solutions for quality assurance and validating client requirementsRequired Qualifications : Bachelor's degree in related fields such as Health Informatics, IT, or Computer ScienceStrong problem-solving skillsRecord of academic and / or business achievementAbility to work in a team environment and manage multiple projectsStrong analytical and process analysis skills with the ability to envision solutions from requirements
Data Science Analyst III
This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of insights from healthcare claims, enrollment, and other related data. ERR_DATA_EXPECTED:"(expected {0})",ERR_DATA_FORMAT:"{0} is inva...
Data Science Manager, Measurement Products
We are looking for a highly technical data science and analytics manager who is passionate about influencing Pinterest's monetization strategy and solving crucial measurement challenges to lead and grow a team of talented data scientists and product analysts who share this objective. Experience in m...
Product- Data Analyst- Remote (Contract and Full Time)
Cielo has partnered with Cornerstone Building Brands to hire 4 Product- Data Analysts for an 18-month contract and 1 full-time, permanent. Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes wit...
Data Analytics & Technologies Senior Manager - Healthcare, Pharma & Life Sciences
Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization...
HR Business Partner - Global E-Commerce - Product, Design & Data Science - Seattle
We are on a mission to reshape the E-commerce landscape and here's a unique opportunity for a seasoned Human Resources Business Partner to support our Product, Design and Data Science teams to do just that. Analytical and data management skills with experience translating data into action planning. ...
Data Analytics & Technologies Director - Healthcare, Pharma & Life Sciences
Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization...
Sr. Product Manager, Analytics & Insights Lead, GSO - Sales Insights, Analytics, Data Engineering & Science (SIADS)
The AWS Sales Insights, Analytics, and Data Engineering & Science (SIADS) team is looking for an Analytics & Insights Lead to support Generative AI (GenAI) reporting and insights development. You should apply if you are passionate about building intuitive data products that help sellers and sales le...
Software Development Engineer II, AWS Industry Products, Healthcare and Life Science
Join the AWS Industry Products Healthcare & Life Science (HCLS) team! Our mission is to transform healthcare through patient-centric products that accelerate the shift to precision healthcare. We collaborate closely with industry leaders to tackle the toughest and most impactful issues faced by heal...
Consumer Products/Retail Data Science Manager
We are hiring a Data Science Manager with industry expertise in Consumer Products/Retail, to support the technical design, development, and deployment of novel AI solutions. D degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc. As a Data Science M...
Data Analytics & Technologies Senior Manager - Healthcare, Pharma & Life Sciences
Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic laye...