Data Scientist

•  Advanced Experience (5+ years) with mathematical and statistical data analysis techniques (such as regression, time series analysis, forecasting, statistical hypothesis testing and multi-variate testing).
  - Advanced Experience (5+ years) in writing SQL and R/Python to derive insights and apply statistical inference.
  - Strong Experience (4+ years) with languages and tools for of data manipulation, analysis and plotting (R, R-shiny, R-markdown, Python, Pandas, Matplotlib, Bokeh, Jupyter).
  - Good experience (3+ years) designing, developing and deploying data applications and ML models at scale.
  - Good experience (3+ years) with data visualization tools and techniques (Tableau, Streamlit, PowerBI,…).
  - Experience with code contribution and versioning tools like GitHub is a strong plus.

- Unravel ambiguous business problems and create opportunities to drive objective criteria using data.
- Drive exploratory data analysis to understand the ecosystem and customer behaviour, identifying new levers to drive our success metrics.
- Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
- Build, configure, deploy and maintain ETL and data pipelines in production environments.
- Collaborate with other team members, data analysts, data architects and data engineers to achieve your goals and objectives.
- Summarize, document and communicate data transformation and analyses to stakeholders.
- Partner effectively with product and other stakeholders, to drive successful and relevant solutions.