About the Role
The role involves designing and implementing machine learning models, analyzing large-scale datasets, and working closely with product and engineering teams to deliver scalable data solutions.
Responsibilities
- Design and deploy machine learning algorithms for real-time decision systems
- Analyze high-volume, high-velocity data streams to extract meaningful patterns
- Collaborate with engineering teams to integrate models into production environments
- Evaluate model performance and iterate based on feedback and metrics
- Translate business challenges into data-driven strategies
- Develop data pipelines for training and inference workflows
- Monitor data quality and system performance over time
- Work with product teams to define success metrics and KPIs
- Present findings and recommendations to technical and non-technical stakeholders
- Ensure models comply with privacy and data governance standards
- Optimize algorithms for low-latency, high-throughput environments
- Conduct A/B tests and causal inference analyses
- Maintain documentation for models and experiments
- Stay current with advancements in machine learning and data science
- Support the development of internal tools for data analysis
- Contribute to best practices in data modeling and experimentation
- Identify opportunities for automation in data workflows
- Collaborate on feature engineering and selection processes
- Assist in defining data architecture requirements
- Mentor junior team members on data science techniques
- Participate in code and model reviews
- Troubleshoot issues in data pipelines and model serving
- Work with large-scale distributed systems
- Apply statistical methods to validate assumptions
- Balance innovation with system reliability and scalability
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Collaborative environment with data and engineering teams
About Us
We are a global technology company specializing in digital advertising solutions, connecting brands with audiences through innovative formats and data-driven strategies.
What We Offer
Opportunities for professional growth, flexible work arrangements, access to cutting-edge tools, and a dynamic team environment focused on innovation and impact.
Available
