Roles and Responsibilities
- Deriving insights from data using descriptive statistics, predictive analytics, and machine learning methods
- Supporting data-driven decisions when working directly with Product, Engineering, and Business stakeholders
- Developing AI and ML solutions to tackle business challenges and enhance efficiency through process automations
- Producing and presenting in-depth analytics reports
- Working with non-technical users and developing our data maturity
Qualification and Skills
- 5+ years in an analytical position. Coding experience required
- Degree in Mathematics, Statistics, Data Science or similar required
- Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deployment
- Advanced knowledge of Python, SQL and Excel. R and JavaScript knowledge is nice to have
- Experience with typical data science packages: numpy, pandas, matplotlib/seaborn, scikit-learn, scipy, statsmodels, and TensorFlow/Pytorch
- Experience in NLP and Computer Vision nice to have
- Knowledge of MLOps principles and tools: cloud technologies, version control, and microservices
- Excellent analytical and problem-solving skills
- Ability to contribute both independently and as part of a team
- Excellent listening, communication, interpersonal and presentation skills
