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Abacus

Data Scientist

Abacus, New York, New York, us, 10261

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Client DoorDash Title Data Analyst-III Location RO, USA, NY, New York, 200 Fifth Ave Description 6 months Remote position 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. Classification TAC: Temporary Agency Worker Remote Work Address

Remote Address Time Zone

Holiday Schedule

Work Schedule

Start Date Jun 23, 2025

End Date Dec 20, 2025

Workday Access - Posting Yes

Business Need Backfill for Contingent

Primary Hours Standard Business Hours

Allow for Remote Yes

Requisition Process Type Standard

Job Posting Rejected by PMO N/A

Job Posting SLA Classification Professional

Laptop Yes

Requisition Reason Original|Open Position

Intake Call Completion Date 2025-06-02T09:00:00.000