Senior Data Science Executive

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues
• Support Internal and External Clients with the understanding of Data Science design and methodology
• Becoemes the next in line to senior managers in meetings with client and senior stakeholderss to understand business needs and help offer innovative solutions
• Works on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r
• Collaborate with other Data Science team units
• Automate and develop solutions for existing processes
• Self directed
  

Stakeholder Management:

Works with direct manager, colleagues, and other stakeholders such as CS team, Commercial and Product Leaders Takes direction from manager and senior colleagues.

Strives to reduce complexity and create clarity.

Technical Proficiency:

• Experience in the following areas: machine learning, trend analysis, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, generalization, and model validation techniques
• Domain expert in at least one area: Demography, Sampling, Statistical Modeling, Research Practices, Data Integration, Digital
• Ability to manipulate, analyze and interpret large data sources
• Experienced in high-level programming languages (f.e. Python, R, SQL, Scala), as well as with data visualization tools (e.g. Power BI, Spotfire, Tableau, MicroStrategy)
• Able to work in virtual environment. Familiar with git/Bitbucket processes