About the Role
The role involves owning the end-to-end development of machine learning systems, guiding technical direction, and influencing product strategy through deep data analysis and cross-functional leadership.
Responsibilities
- Lead the design and implementation of machine learning models for large-scale applications
- Collaborate with product and engineering teams to integrate data solutions into production systems
- Define metrics and analytical frameworks to evaluate business performance
- Mentor junior data scientists and contribute to team best practices
- Translate complex business problems into data-driven strategies
- Conduct exploratory data analysis to uncover patterns and insights
- Develop automated reporting and monitoring tools
- Optimize data pipelines for speed and reliability
- Evaluate model performance and iterate on improvements
- Present findings and recommendations to technical and non-technical stakeholders
- Ensure data quality and integrity across systems
- Drive experimentation design and A/B testing frameworks
- Support ad-hoc analytical requests from leadership
- Stay current with advancements in data science and machine learning
- Contribute to data governance and ethical AI practices
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with flexibility
Team
Collaborative data science and engineering team
About the Team
- The data science team works at the intersection of business strategy and technology, delivering insights and systems that directly impact customer experience and company growth.
- Team members operate with high autonomy and are expected to drive initiatives from concept to deployment.
What We Value
- Technical excellence combined with business acumen
- Ownership of projects and outcomes
- Clear communication across disciplines
- Curiosity and continuous learning
Available for qualified candidates
