Senior Data Scientist 6-Month Contract with Potential to Hire $80-100/hr Remote We are hiring an experienced Senior Data Scientist to join our expanding analytics team and lead high-impact data initiatives across multiple business functions. This role is ideal for someone who can work end-to-end across the data stack—partnering with stakeholders, analyzing complex data, and delivering insights that influence strategic direction. You’ll play a key role as the organization invests in scalable data systems, enhances metric consistency, and deepens data-driven collaboration with key departments like Product, Marketing, and Sales. Key Responsibilities • Advanced Analytics & Modeling • Collaborate with stakeholders to analyze critical business challenges using statistical methods and machine learning (e.g., correlation analysis, customer lifetime value, lead scoring). • Metric Consistency & Data Quality • Support data governance efforts by standardizing metric definitions, resolving reporting inconsistencies, and improving data accuracy across tools and reports. • Visualization & Reporting • Design, develop, and maintain interactive dashboards that provide business leaders with actionable insights and self-service data access. • Cross-Functional Partnership • Serve as a dedicated data partner to functional teams. Translate their needs into clear analytical deliverables and help drive decisions with data. Tech Stack • Languages: SQL, Python • Visualization: Tableau (or equivalent BI tool) • Data Modeling & ELT: dbt, Hevo • Model Orchestration: Metaflow (or comparable tools) Candidate Profile • 5+ years of experience in data science, analytics, or a similar field • Strong analytical thinker and effective communicator, able to bridge technical and business perspectives • Proven ability to manage the full analytics lifecycle—from data prep through modeling and reporting • Skilled at collaborating across departments and aligning data work to business goals • Proficiency in statistical analysis, with sound judgment on method selection and business fit • Background supporting functions like Product, Sales, Marketing, or Finance • Comfortable in dynamic environments where priorities shift and visibility is high