Negotiable
Undetermined
Remote
Chicago
Summary: The Senior Data Scientist role is a 6-month contract position focused on leading data initiatives across various business functions. The ideal candidate will work end-to-end across the data stack, collaborating with stakeholders to analyze complex data and deliver insights that drive strategic decisions. This position emphasizes the importance of scalable data systems and cross-functional partnerships to enhance data-driven collaboration. The role is fully remote, allowing for flexibility in work arrangements.
Key Responsibilities:
- Collaborate with stakeholders to analyze critical business challenges using statistical methods and machine learning.
- Support data governance efforts by standardizing metric definitions and improving data accuracy.
- Design, develop, and maintain interactive dashboards for actionable insights.
- Serve as a dedicated data partner to functional teams, translating their needs into analytical deliverables.
Key Skills:
- 5+ years of experience in data science, analytics, or a similar field.
- Strong analytical thinker and effective communicator.
- Proven ability to manage the full analytics lifecycle.
- Skilled at collaborating across departments and aligning data work to business goals.
- Proficiency in statistical analysis.
- Background supporting functions like Product, Sales, Marketing, or Finance.
- Comfortable in dynamic environments.
Salary (Rate): £80 hourly
City: Chicago
Country: United States
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
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: Airflow (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
