Related skills
terraform sql python kubernetes gcpπ Description
- Design and deploy ML models to personalise recommendations and boost engagement.
- Build and optimise incentives to motivate users and improve ROAS.
- Collaborate with data analytics and engineering to improve data structures and visibility.
- Establish technical best practices: docs, data ownership, measurement, experimentation.
- Define KPIs aligning output with business goals for models, dashboards, analyses.
- Mentor and support data scientists and analytics engineers to raise standards and scale the team.
π― Requirements
- Experience building and deploying ML models in product-driven environments (Gaming/AdTech).
- Deep statistical and modelling knowledge for experiments, uplift, and causal impact estimation.
- Strong understanding of data engineering workflows and modern data stack tools (DBT, Airflow, K8s).
- Proficiency in Python and SQL; cloud platforms (GCP preferred) and Terraform.
- Excellent communication and leadership to drive clarity and stakeholder alignment.
π Benefits
- Scale with Almedia: real impact in a profitable startup.
- High-growth environment with ownership and growth opportunities.
- Generous bonus scheme to reward proactive work.
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