SIRE Life Sciences® is the market leader in life science recruitment. We believe the recruitment market needs to gear up in technology and continues innovation. We like technology, in a life science market driven on science, we couldn’t stay behind; we drive Recruitment Science. Investing a majority of our turnover in technology enables us to use unique Resource Technologies. By using highly advanced algorithms, we enable our team of Resource & Data Strategists© to maintain the most advanced, detailed and complete Life Sciences network in Europe. This big data enables us to work Reverse Recruitment©: we first analyze the market in-depth before we go out to the market. Because we analyze the whole market, we can compare facts and data. This enables us to do Facts & Big Data Recruitment©, making sure we, or better yet, you find the right career!
The companyOur client is a professional Medical Devices organization, based in Noord-Holland Netherlands.
Role descriptionAre you a Data Scientist who creates meaningful business value out of data? Are you able to proactively source pockets of information from various sources and analyse it to identify critical proposition/business (performance) improvements? Are you able to define a path to automation, continuously improving and democratizing the path to automation recognizing that your time should be spent working with data to find insights not working on data?
Responsibilitieso Exploratory data analysis of Personal Health IoT propositions for additional value extraction
o Provide data-driven optimization recommendations for common business problems; scoping and business demand, captured according to core business goals and KPIs
o Codifies learning and translates findings into user stories to be repeated across other propositions and identifies a path to automation and continuous process improvement
o Define value creation opportunities underpinned with clear and tangible ROI
o Identify drivers of churn and other mission critical insights that detract from an optimal user experience/engagement
o Identify monetisation opportunities and other paths to value creation
Requirements• Business/behavioural economics background
• 5 + years corporate experience
• Engineering/development experience (Java must have)