No more applications are being accepted for this job
- Acquire data from primary or secondary data sources and generate business insights relevant to Presight s business goals.
- Maintain complex data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
- Use emerging technologies such as machine learning & AI and advanced programming to derive insights from large datasets.
- Apply data science, mathematical and statistical techniques, and cognitive/decision science to drive business intelligence reports for management.
- Codevelop research plans, implement models and monitor outcomes by collaborating with different departments and business stakeholders in order to help shape the research approach and potential output.
- Conduct market/industry characteristics analysis, competitor assessment, trend analysis, demand forecasting, regulatory reviews, demographic assessment, macroeconomic analysis and benchmarking for datasets received.
- Leverage the data received from the data analytics team and use them in conjunction with current organizational dynamics to develop transformational business intelligence solutions.
- Work with content developers to translate research insights into compelling stories for interpretation of analyses and data visualization.
- Conduct quantitative research and asis/tobe process mapping along with gap analysis to come up with analyses/assessment to improve business processes, reduce costs and enhance customer experience.
- Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field
- Minimum 6 years of experience in executing complex research projects
- At least 3 years of experience in using data science to conduct hypothesisdriven research, preferably for AI or in the analytics industry
- A commitment to research
- A highly datafocused and investigative approach to problemsolving
- Indepth domain and market knowledge
Data Scientist - Abu Dhabi, United Arab Emirates - Group 42
Description
ResponsibilitiesReporting to the Chief Technical Officer, you will apply data mining & statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large volume data in order to drive business optimization & enhance product development, marketing techniques and business strategies.
FunctionalTo qualify, you must have
Skills and attributes for success:
The criteria to evaluate your performance would include cost savings achieved, number of use cases investigated + datasets mined & explored, number of existing solutions & processes optimized, number of services and solutions digitized, number of innovations/POCs deployed, and customer NPS.
To qualify, you must have:
Ideally, you ll also need:
Desired Candidate Profile
Education:
Bachelor of Science(Computers)
Gender:
nm
Nationality:
Any Nationality