Title: Senior Data Scientist
Location: Abu Dhabi
Duration: 8 months extendable contract
Role Purpose:
The role of the Data Scientist is to act as an analytics translator, communicating complex data related requirements between business and IT stakeholders. He/she will be involved in building of new, bespoke advanced analytic tools
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Develop company A/B testing framework and test model quality. • Coordinate with different functional teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyse model performance and data accuracy.
Specialist Skills / Technical Knowledge Required for this role:
• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
• Knowledge of additional programming languages is a plus (Python, C++, Java)
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
• Proven leaders with the ability in inspire others, build strong relationships, and create a true followership, result-driven achievers
• Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way Previous experience required (if any)
• Bachelor’s degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus
• 7-8 years of hands-on mathematical modelling experience in business environment
• Proven experience in working with large datasets and relational databases (SQL)Strong knowledge of one or more data science or decision science domains (e.g. [un)]supervised learning, explainable artificial intelligence, econometrics, deep learning, Natural Language Processing, time series forecasting, deployment, causal inference, uplift modelling, and/or optimization)
• Ability to describe analytic processes from start to finish in your area of expertise