Senior Data Scientist
Skills
Computer ScienceAmazon Web ServicesCore MLMarketing AnalyticsModelingOnline MetricsOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 6+ years' experience developing and deploying machine learning models or optimization systems in production
- Degree in a quantitative field such as Mathematics Statistics Computer Science or Engineering
- Proven ability to take models from design through to live activation with ownership of performance impact and iteration
- Hands-on experience designing and implementing recommendation systems
- Strong experience defining experiment design offline and online metrics and success criteria for model evaluation
- Advanced proficiency in Python applied ML frameworks and cloud environments
- Hands-on experience with modern data stacks such as Snowflake dbt and AWS plus version control orchestration and CI/CD
- Experience leading and developing teams and working closely with engineering and marketing stakeholders
- Strong communication and influence skills with technical and non-technical partners
- Familiarity with customer engagement platforms such as Iterable including API-driven data ingestion event tracking and campaign activation
Nice to have
- Hands-on
- Strategic influence
- Collaborative
- Mentoring mindset
- Production focused
- Commercially aware
Day to day
- Lead end-to-end development and activation of machine learning models that power customer communications and personalization.
- Design, productionize, measure, and integrate core modelling frameworks such as propensity, recommendations, and optimization within the CRM platform.
- Partner with Marketing, Engineering, and analytics teams to translate business problems into scalable automated solutions that improve engagement and commercial outcomes.
- Set modelling standards, guide deployment approaches, mentor a small team, and shape the long-term automation roadmap across markets.