Aquent Talent seeks a Data Scientist to drive data-informed decisions across creative, marketing, and digital staffing solutions. You will design and implement predictive models, segment clients and talent, and analyze campaign and marketplace performance to optimize match quality and business outcomes. Responsibilities include data wrangling from multiple sources, building dashboards, running experiments, and communicating findings to business and product stakeholders. You'll collaborate cross-functionally in a people-first, inclusive environment with opportunities for continuous learning and flexible work options.
Responsibilities
- Develop and deploy predictive models to improve talent-client matching and business outcomes.
- Wrangle, clean, and integrate data from multiple internal and external sources.
- Design and maintain dashboards and reports for business and product stakeholders.
- Conduct A/B tests and experiments to evaluate product and campaign performance.
- Collaborate with cross-functional teams to translate business questions into analytic solutions.
- Communicate insights and recommendations clearly to technical and non-technical audiences.
- Monitor model performance and iterate to improve accuracy and impact.
- Contribute to data best practices, documentation, and knowledge sharing.
Required Skills
- Python
- RSQLMachine learning
- Statistical modeling
- Data visualization (Tableau/Power BI)
- A/B testing and experimentation
- ETL/data wrangling
- Predictive analytics
- Cloud data platforms (AWS/GCP/Azure)