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Data Scientist | $100/hr Remote

Crossing Hurdles
Department:Data Engineer
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Salary:$20,800 - $83,200
Skills:
SQLPYTHONDUCKDBPANDASDATA ANALYTICSDATA SCIENCESTATISTICAL REASONINGBUSINESS INTELLIGENCEJUPYTER NOTEBOOKSGITHUB
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Job Description

Posted on: October 26, 2025

At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.

Position: Expert Data Scientist

Type: Hourly Contract

Compensation: $100/hour

Location: Remote

Duration: Approximately 2 months

Commitment: 10-40 hours per week, fully asynchronous

Role Responsibilities

  • Analyze large structured datasets provided by partner organizations to support AI model development
  • Design reasoning-based analytics questions requiring multi-step problem-solving and data interpretation
  • Write and validate Snowflake SQL queries, using tools such as DuckDB, pandas, or Python notebooks, to address analytical questions
  • Produce clear, human-readable explanations articulating analytical reasoning and insights
  • Format deliverables into structured JSON outputs that include question, query, and answer components
  • Ensure output consistency and quality through collaboration with peers and feedback from reviewers

Ideal Qualifications

  • Strong experience in data analytics, data science, or a related quantitative field
  • Proficiency in SQL and Python, with preferred experience in DuckDB or pandas
  • Strong skills in data exploration, statistical reasoning, and business intelligence
  • Experience using analytical tools like iPython, Jupyter Notebooks, and GitHub
  • Excellent written communication skills with the ability to clearly explain complex reasoning
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related discipline; advanced degree preferred

Application Process

  1. Upload resume
  2. AI interview based on your resume (15 min)
  3. Submit form
Originally posted on LinkedIn

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