Senior Data Scientist
Job details
Are you looking to making an impact while doing something you are passionate about? We are looking for an innovative Data Scientist who can come up with creative ways to take monitoring into the future. At Games Global we are not only committed to being the oneā¦ we are committed to our people and fulfilling their dreams of being the best in their chosen field. We have a great vision for the space and need a Data Scientist to help to get us there. The role will take a lead with team members to develop a suite of data science monitoring solutions. Use advanced statistical modelling and machine learning techniques to solve business problems. Key Responsibilities & Deliverables
- Analysis delivery
- Data Governance
- Mentorship and leadership
- Data Science Leadership
- Stakeholder Management
- Project Management
- Snowflake
- SSMS
- Anaconda
- Tableau
- PowerBI
- Advanced experience with SQL (SSMS/Snowflake)
- Intermediate with data visualization tools such as Power BI, Tableau
- Advanced experience with a programming language such as R, Python and any other statistical tools
- Advanced experience with web-based repositories e.g. Gitlab/Github
- Advanced data preprocessing skills (data cleaning, missing value imputation, outlier analysis)
- Advanced knowledge of statistical modelling and ML algorithms and a strong ability to identify use cases for the application of these.
- Demonstrate an ability to work with a wide range of multi-source data
- Continuous research and development (Tool stack, machine learning algorithms)
- Produce advanced visualisations for business applications
- Use ML techniques to produce predictive models that aide in analytical approaches to answering business questions.
- Implement full data science life cycle in production (100%)
- Communicate technical concepts and findings to both technical and non-technical stakeholders
- At least 4 years of work experience as a data scientist, data analyst, mathematician, computer scientist or statistician
- Undergraduate or postgraduate qualification in a quantitative field such as Mathematics, Statistics, Data Science, Data Analytics, Computer Sciences, Physics, Finance, Economics or Engineering.
- Certification/qualification in Data Science (Shiny app, R Packages etc)
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