Description:
At Bayut dubizzle, our Senior Data Scientist participate in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.
In this role, you will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.
As a Senior Data Scientist, you will be responsible to ideate, develop and deploy data science solutions to tackle a variety of complex business problems where precedent may not exist.
You Will Also Take Initiative And Be Responsible For
- Liaise with stakeholders to understand the business problems and devise data science solutions to tackle them.
- Work on regression and classification problems on tabular, textual and image data.
- Work on forecasting, anomaly detection and time-series analysis.
- Build recommendation engines.
- Query large datasets in AWS Redshift to extract the necessary data that will feed ML models.
- Perform data exploration to find patterns in the data and understand the state and quality of the data available.
- Utilize Python code for analyzing data and building statistical models to solve specific business problems.
- Evaluate ML models and fine tune model parameters considering the business problem behind.
- Deploy ML models into production that work as standalone data services.
- Build customer-facing reporting tools to provide insights and metrics which track system performance.
- Be able to work autonomously without supervision on complex projects proposing innovative solutions where appropriate
- Monitor and optimise the cost and efficiency of the technical solution
- Occasionally lead the work of a small project team and formally train junior staff
- Participate in the off-hours on call stability rota to support live ML models
Requirements
- Master’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field
- 5+ years of working experience in Data science
- Experience with AWS
- Expert knowledge of Python’s ML stack: Pandas, Matplotlib, Sklearn, Tensorflow.
- Expert knowledge of machine learning algorithms such as Linear regression, Gradient boosted trees, Neural networks.
- Experienced in deploying Machine learning models into production.
- Experienced in writing production grade clean and testable code.
- Knowledge of SQL and experience handling large datasets.
- Knowledge of visualization tools such as Periscope.
- Knowledge of statistical analysis and A/B testing.
Benefits
- A fast paced, high performing team.
- Multicultural environment with over 35 different nationalities
- Competitive Tax-free Salary
- Comprehensive Health insurance
- Annual Air Ticket Allowance
- Employee discounts at multiple vendors across the emirates
- Rewards & Recognitions
- Learning & Development