Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Analytics Lead responsible for building dashboards and data products for partner and executive decision-making at fintech startup. Collaborating closely across teams to drive analytical excellence.
Responsibilities
- Design and build high-impact dashboards and analytical systems that serve as the source of truth for executives, partners, and internal teams.
- Own partner-facing program reporting, creating clear, reliable KPI frameworks that scale across brands.
- Develop executive-level reporting that distills complex datasets into intuitive narratives and actionable insights for leadership.
- Work closely with Data Engineering to define data models and metric definitions that are robust, consistent, and extensible.
- Deliver intuitive, self-serve tools that empower teams across the organization to understand performance and take action.
- Improve the usability and clarity of data products, ensuring that teams can make high-quality, data-driven decisions with confidence.
- Champion analytical excellence by driving best practices in visualization, metric design, and data storytelling.
Requirements
- Have a Bachelor’s degree in a quantitative field (Computer Science, Engineering, Mathematics, Analytics, or related discipline).
- Are highly proficient in SQL and comfortable working with modern analytics stacks (e.g., Snowflake, dbt, Sigma).
- Have 5+ years of experience designing and building analytical systems, dashboards, or data products that drive decision-making at scale.
- Think deeply about how data is consumed and can turn complex questions and datasets into intuitive, self-serve experiences.
- Communicate insights effectively and collaborate seamlessly with technical and business stakeholders, including executives and external partners.
- Bring experience with executive reporting, partner analytics, financial or operational analytics, or other high-stakes data products in fintech or adjacent industries.
Benefits
- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered, high-quality healthcare, including fully covered dependent coverage
- Additional health coverage includes access to One Medical and the option to enroll in an FSA
- 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
- Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
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