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Harnham
Harnham

Senior Data Scientist

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Data
Analytics
Machine learning
+14

Contract role
a day ago
Apply now

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

About Harnham

👥201-500
📍Wimbledon, London
🔗Website
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