As a Manager Data Scientist, you will lead, ideate, develop and deploy data science solutions to tackle a variety of business problems. Your responsibilities will include:
- Lead a team of data scientists to deliver data services and data products in line with business objectives
- Liaise with stakeholders to understand the business problems and devise data science solutions to tackle them
- Closely collaborate and act as strategic partner to the product, technology, and BI functions, as well as all commercial business units, to translate key business requirements into Data Science and ML initiatives
- Build and champion the company’s 3-year Data Science / Machine Learning roadmap
- Own the data science projects end to end. From stakeholders management to execution
- Mentor other team members, sets the best practices and shares them
- 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
- Build customer-facing reporting tools to provide insights and metrics which track system performance
- Communicate verbally and in writing to technical peers but also to business customers and leadership team educating them about our systems, as well as sharing insights and recommendations
Requirements
- Master’s degree in, Artificial Intelligence, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field
- 6+ years of working experience in Data science with 2 years of people management experience
- Proficient knowledge of SQL and experience handling large datasets
- Proficient knowledge of visualization tools such as Periscope
- Proficient with Python’s ML stack: pandas, sklearn, tensorflow
- Proficient knowledge of Machine learning algorithms
- Experienced in using multiple data science methodologies to solve complex business problems
- Experience deploying Machine learning models into production
- Experience writing production grade clean and testable code
- Experience with the AWS stack for Machine Learning and API’s: AWS Lambda, AWS Batch, Amazon Sagemaker
- Strong problem solving skills along with verbal and written communication skills
Benefits
- A fast paced, high performing team.
- Multicultural environment with over 25 different nationalities
- Competitive Tax-free Salary
- Comprehensive Health insurance
- Annual Air Ticket Allowance
- Employee discounts at multiple vendors across the emirates
- Rewards amp; Recognitions
- Learning amp; Development