Senior Data Scientist
Description
As a Senior Data Scientist, you will be at the forefront of our AI developments, analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building ML/AI powered applications in production.
Responsibilities
- Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact
- Analyze data to identify significant patterns and generate actionable insights
- Perform exploratory data analysis EDA and feature engineering to support the modeling process
- Apply best practices on model selection, parameter tuning etc.
- Run comparative experiments for model training
- Analyze ML metrics to evaluate different potential solutions
- Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments
- Mentor and guide junior members, sharing knowledge and leading complex projects.
Requirements
- Expert knowledge of machine learning algorithm and respective theory
- Extensive hands-on experience in delivering machine learning models to production
- Experience in developing MLOps solutions
- Knowledge of the Python machine learning ecosystem and solid software background in OOP
- Knowledge of Deep learning
- Strong skills in teamwork, communication, and analytical thinking
- Fluency in English, both oral and written
- Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks (Nice to have)
- Experience in recommendation systems (Nice to have)
- Experience in GenAI application development (Nice to have)
- Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc. (Nice to have)
Benefits
- A buddy will support you with your onboarding
- Competitive pay & bonus scheme
- Developmental 360° feedback framework
- Hybrid way of working & remote options
- Monthly meal allowance
- Private health insurance for you & your family
- Unlimited access to Udemy & continuous training
