Senior Data Scientist
Employer · Asura Technologies Ltd.
Mathematician
Systems analystSoftware developerFlexibleFull-timeBudapest
As a Senior Data Scientist, you will independently lead complex machine learning and statistical projects from ideation through production deployment. Your models will directly support our customers' day-to-day operations, provide decision-support capabilities, and your experiments will drive real business decisions in the U.S. market. Working closely with the Data Engineering team, you will contribute to the migration of our data platform to AWS. You will also support the professional growth of junior team members through mentoring and knowledge sharing.
Tasks
- Independently design, develop, and deploy machine learning and statistical models, from data preparation to production deployment
- Monitor the performance of production models, identify and manage data drift, and develop retraining strategies
- Design and evaluate experiments (A/B testing, cluster-randomized experiments, statistical power analysis) to validate business hypotheses
- Support the migration of ML models and related data pipelines to AWS in collaboration with the Data Engineering team
- Contribute to the technical direction of the Data Science function by introducing methodologies and best practices
- Collaborate closely with Product Managers, business stakeholders, and development teams, communicating results through dashboards (Domo) and presentations
- Mentor junior and mid-level colleagues, conduct code reviews, and lead knowledge-sharing initiatives
- Document models and experiments and ensure reproducibility
- Proactively identify and resolve data quality and model performance issues
Conditions & benefits
Competitive salary plus annual performance bonusMedicover private health insuranceAll You Can Move sports membership contributionAdditional day off on your birthdayProfessional growth opportunities in an innovative Hungarian technology companyContinuous and immediate feedback on your work in a supportive environmentHybrid working model (2 days of home office per week)
Requirements
- Minimum of 5 years of relevant Data Science experience
- Bachelor's or higher degree in Mathematics, Statistics, Computer Science, or another relevant field
- Proven experience delivering end-to-end machine learning projects into production environments
- Strong Python skills (pandas, scikit-learn, and other ML libraries) and ability to write production-quality code
- Experience writing complex SQL queries
- Strong practical experience applying machine learning techniques on large datasets for clustering, classification, regression, anomaly detection, simulation, and optimization tasks
- Experience integrating multiple internal and external data sources and applying them to diverse analytical and modeling challenges
- Strong statistical foundation, including hypothesis testing, experimental design, and causal inference
- Experience with the ML lifecycle and MLOps practices, including model versioning, deployment, and monitoring
- Software engineering mindset, including Git, code reviews, clean code principles, CI/CD, and documentation
- Experience working in cloud environments
- English language proficiency at a minimum B2 level
- Ability to communicate complex technical findings in clear business language
- Independent and responsible working style, with strong ownership even in environments with changing or ambiguous requirements
- Familiarity with BI tools such as Domo, Power BI, or Tableau