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Job Description
Data Scientist reporting to Head of International Business Support
Mission / Role purpose:
- Data Scientist is a senior profile to support company vision with insights gained from analyzing company data. He/she will be using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
- Data Scientist should be able to drive business results with their data-based insights working with a wide range of stakeholders and functional teams discovering solutions hidden in large data sets to improve business results.
- The data scientist will use their strong business sense along with an ability to communicate findings to both business and IT leaders in a way that can influence how an organisation approaches a business challenge
As a data scientist you'll need to:
- Work closely with your business to identify issues and use data to propose solutions for effective decision making and drive business insights
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies
- Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
- Use machine learning tools and statistical techniques to produce solutions to problems
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
- Develop custom data models and algorithms to apply to data sets
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Present information using data visualization techniques
- Horizon scan to stay up to date with the latest technology, techniques, and methods
- Conduct research from which you'll develop prototypes and proof of concepts
- Look for opportunities to use insights/datasets/code/models across other functions in the organization
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work
Job Requirements
Key result/decision areas (outcomes)
Knowledge and abilities
- Experience in (or a willingness to get to grips with) database interrogation and analysis tools, such as Hadoop, SQL, and SAS
- Strong problem-solving skills with an emphasis on product development
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
- Experience working with and creating data architectures
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
Education, qualifications, and certifications:
- Bachelor degree or higher in statistics, math, computer science and economics (or other relevant areas), or equivalent relevant experience with a demonstrable commitment to self-development
- ITIL v3 foundation certification
- Financial background is a plus
- Optional: CMM/CMMI, PMP or PgMP or Prince2 or MSP (or internal PM certifications), Six Sigma certifications
Experience:
- Minimum of 5 years of customer facing experience in the telecom or IT industry
- Experience in working in an international environment with geographically distributed teams.
- Experience at developing, documenting and optimizing processes
- Experience in communication and reporting to senior management