About the Role
The position involves owning the end-to-end development of data science solutions, mentoring team members, and translating complex business problems into scalable technical strategies using modern data tools and methodologies.
Responsibilities
- Lead the design and implementation of machine learning systems
- Collaborate with product and engineering teams to integrate models into production
- Define metrics and evaluate model performance rigorously
- Mentor junior data scientists and promote best practices
- Translate business requirements into analytical frameworks
- Develop prototypes for new data-driven features
- Ensure data quality and integrity across pipelines
- Present insights and recommendations to stakeholders
- Drive innovation through experimentation and research
- Optimize existing analytical processes for efficiency
- Manage project timelines and deliverables
- Work with large-scale structured and unstructured datasets
- Apply statistical methods to solve business challenges
- Support A/B testing and causal inference initiatives
- Maintain documentation for models and workflows
- Stay current with advancements in data science and AI
- Contribute to technical architecture decisions
- Ensure compliance with data governance policies
- Facilitate knowledge sharing across teams
- Identify opportunities for automation in analytics
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid work model with flexible remote and office options
Team
Collaborative data science team within a global analytics division
What We Offer
- Comprehensive health and wellness benefits
- Retirement savings plans with company match
- Paid time off and company holidays
- Professional development and training programs
- Employee resource groups and inclusion initiatives
About the Team
- Part of a growing analytics organization focused on innovation
- Work on high-visibility projects impacting millions of users
- Cross-functional collaboration with product, engineering, and business units
- Culture that values data ethics and responsible AI
- Opportunities to publish and present externally
Available for qualified candidates requiring sponsorship
