About the Role
This role involves working directly with customers to understand their data challenges and delivering tailored analytical solutions that drive product optimization and marketing effectiveness.
Responsibilities
- Collaborate with client teams to identify key business questions and data opportunities
- Design and execute custom analytics projects using customer data
- Develop data models and machine learning solutions aligned with client goals
- Translate technical findings into clear, actionable recommendations
- Support integration of analytics into client workflows and decision processes
- Diagnose data quality issues and recommend improvements
- Assist in onboarding clients to analytics platforms and tools
- Create dashboards and visualizations to communicate insights
- Work with engineering teams to ensure scalable data solutions
- Provide expertise on best practices in data science and measurement
- Lead workshops and training sessions for client stakeholders
- Document methodologies and project outcomes for reproducibility
- Stay current with industry trends and emerging analytical techniques
- Advocate for ethical data use and privacy compliance
- Coordinate with cross-functional teams to align technical deliverables with business outcomes
Nice to Have
- Master’s degree in a quantitative discipline
- Experience in SaaS or enterprise software environments
- Exposure to real-time data processing systems
- Hands-on experience with customer data platforms
- Track record of delivering data science projects in production settings
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Hybrid or remote options available
Team
Part of the customer-facing data science team supporting enterprise clients
Why This Role Matters
You will help organizations unlock the full value of their customer data by building practical, scalable solutions that improve decision-making and campaign performance.
What You’ll Bring
A collaborative approach to problem-solving, technical depth in data science methods, and a passion for turning data into meaningful business impact.
Available for qualified candidates
