Senior Data Science Expert (Hourly Contract)

crossing hurdles โ€ข United Kingdom
Remote
Apply
AI Summary

Lead the design and refinement of AI models by analyzing large datasets and developing statistical models. Collaborate with research teams to test hypotheses and scale experimental workflows. Requires strong proficiency in Python and core data science libraries.

Key Highlights
Analyze large datasets to inform AI model design
Develop and apply statistical models and machine learning techniques
Build reusable tools for data processing and visualization
Partner with research teams to test hypotheses and scale workflows
Support data-driven experimentation and continuous model improvement
Key Responsibilities
Analyze large datasets to extract insights that inform AI model design and refinement
Develop and apply statistical models, machine learning techniques, and evaluation frameworks
Conduct performance assessments and data quality reviews on AI model outputs
Build reusable tools for data processing, visualization, and reporting
Partner with research teams to test hypotheses and scale experimental workflows
Support data-driven experimentation and continuous model improvement initiatives
Technical Skills Required
Python pandas NumPy scikit-learn

Job Description


Position: Data Science Expert

Type: Hourly contract

Compensation: $50โ€“$90/hour

Location: Remote

Commitment: 10โ€“40 hours/week


Role Responsibilities

  • Analyze large datasets to extract insights that inform AI model design and refinement.
  • Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
  • Conduct performance assessments and data quality reviews on AI model outputs.
  • Build reusable tools for data processing, visualization, and reporting.
  • Partner with research teams to test hypotheses and scale experimental workflows.
  • Support data-driven experimentation and continuous model improvement initiatives.


Requirements

  • Strong professional background in data science, machine learning, or related analytical fields.
  • Proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn).
  • Familiarity with large-scale data environments and version-controlled workflows.
  • Strong understanding of statistical analysis, experimental design, and model validation.
  • Excellent written communication skills and ability to collaborate across technical teams.
  • Ability to work independently in a fully remote environment.


Application Process (Takes 20 Mins)

  • Upload resume
  • Interview (15 min)
  • Submit form

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