Machine Learning Engineer (Data Scientist)
You are a humble, passionate, and experienced engineer looking for a collaborative and analytical Data Scientist role to support the execution of product deliveries and the machine learning pipeline. You will validate the data flow from data sources, analyze patterns and trends in the data, and facilitate machine learning updates to the system. You will work closely with the Engineering and Data Teams, alongside Customer Success teams, to support the flow of data collection and machine learning initiatives that ultimately drive customer success.
Responsibilities
- Lead strategic decision-making for user growth and product innovation by utilizing analytics, experimentation, forecasting, and machine learning
- Develop and deploy machine learning models and causal inference techniques at scale, from concept to measurable business impact
- Design and oversee experiments and analyses to evaluate product performance and drive continuous improvements
- Build and maintain automated, scalable data pipelines to support reporting, data visualization, analytics, and machine learning
- Lead the design and management of comprehensive machine learning platforms, ensuring robust model development and deployment processes
Requirements
- BSc or MSc in Mathematics, Computer Science, Engineering or related field
- Over 3 years of hands-on experience in Data Science, Machine Learning, and Deep Learning
- 4+ years of demonstrated high proficiency in Python and SQL
- Practical expertise in A/B testing and causal inference
- Extensive experience with AWS cloud technologies
- Proficient in MLOps practices, including model deployment and monitoring
- Experience with Docker for containerization and Git for version control