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Location RO, USA, NY, New York, 200 Fifth Ave
Description 9 months Remote position Manager is open to candidates in USA or Canada Title: Data Scientist Position Overview: DoorDash's Marketing Data Science & Analytics team is seeking a Data Scientist Contractor to drive operational efficiency, optimize campaign strategy, and enhance tooling infrastructure. This role combines tactical problem-solving with strategic influence, offering the opportunity to shape data-driven decisions that impact marketing performance at scale. Key Responsibilities: Campaign Analysis & Strategy: Analyze campaign performance data to identify trends, inefficiencies, and growth opportunities. Translate insights into actionable recommendations to refine targeting and budget allocation Operational Process Optimization: Diagnose bottlenecks in marketing workflows (e.g., reporting) and design scalable solutions (e.g., automation programs, dashboards). Tooling Infrastructure Development: Build and refine tools to streamline data pipelines, reporting systems, and cross-functional collaboration (e.g., SQL, BI tools, workflow orchestration). Cross-functional Collaboration: Partner with Marketing, Engineering, and Product teams to align technical solutions with business objectives. Insights-to-Action: Transform raw data into strategic narratives that inform marketing decisions and operational improvements. Qualifications: Technical Expertise: Proficiency in SQL, and data visualization tools (e.g., Tableau, Looker). Analytical Mindset: Strong problem-solving skills with a track record of optimizing processes, tooling, or campaign strategies. Communication: Ability to distill complex data insights into clear, actionable recommendations for non-technical stakeholders. Experience: 2+ years in data science, analytics, or a related field. Prior work in marketing analytics or operations is a plus.
Start Date Feb 24, 2025
End Date Nov 8, 2025
llow for Remote Yes
Laptop Yes
Wünschenswerte Fähigkeiten
- Data Visualization
- Looker
- SQL
- Tableau
Berufserfahrung
- Data Engineer
- Data Analyst
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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