Job Description

Determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions. Acquire and integrate data from multiple data sources for analysis, perform exploratory to advanced predictive and/or modelling analytics, and identify data relationships such as trends, patterns and correlations in order to solve business questions as well as provide actionable recommendations Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for our Company. Use statistical and computer science software to navigate big data and multiple databases residing in different platforms, to carry out analyses that includes identifying appropriate data sources, compiling and cleaning data, analysing and visualizing findings, writing reports, and developing recommendations. Conducts assigned data innovation analytics including data quality assessments, fit-for-purpose analyses, and proof-of-concept use case tests. Leverage the data to develop clear understanding of efficiencies, and partnership values to convey key insights to help inform strategic decisions Ensure alignment with the other Data Scientist s in the team and share best practices Be able to presents data and analysis in a clear and concise manner allowing the internal clients to quickly understand the results and make data driven decisions. Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes. Produces exploratory data summaries, visualizations, and presentations to highlight topics of potential focus for further analysis, policy review, and/or external collaboration. Education Bachelor of Science (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, MBA, or an equivalent scientific/commercial discipline Minimum of three (2) or more years of experience in analysing healthcare administrative data, electronic health records, and/or disease/patient registries for relevant quantitative and qualitative research. Preferred: MS (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, MBA, or an equivalent scientific/commercial discipline Experience : Strong business acumen with a keen ability to understand how data (HCP, consumer, payer, patient, account, engagement, etc.) can be leveraged to inform critical commercial decisions and actions. Proven ability to analyse and assess the commercial value of data assets. Proven potential to effectively collaborate with a broad range of internal and external stakeholders. Global experience a plus. Intellectual curiosity and ability to identify innovative approaches to addressing data needs. Excellent presentation, analytics, and communication skills, both written and oral, are required to synthesize key issues and communicate/persuade constituencies towards specific actions and initiatives. Ability to attain trusted advisor status with key stakeholders and business clients. Ability to operate in dynamic, transforming environment. Project management and root cause analysis

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