Data Scientist
@ Crossing Hurdles

Hybrid
$78,000
Hybrid
Contractor
Posted 22 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXX******* @crossinghurdles.com
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Job Details

About the Data Scientist Role

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models. The Data Scientist role is an Expert position, engaged on an hourly contract basis.

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.
  • 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 to clearly explain complex reasoning.
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or related discipline; advanced degree preferred.

Application Process

Upload your resume, complete an AI interview based on your resume (15 min), and submit the form.

Key skills/competency

  • Data Analytics
  • SQL
  • Python
  • DuckDB
  • pandas
  • Data Exploration
  • Statistical Reasoning
  • AI Models
  • JSON Formatting
  • Communication
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How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Research Crossing Hurdles: Understand their AI partnerships and recruitment focus.
  • Customize your resume: Highlight SQL, Python, and analytics expertise.
  • Prepare examples: Demonstrate data exploration and problem-solving skills.
  • Practice technical tests: Familiarize with Snowflake SQL and Python notebooks.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query best practices.
Practice Python data manipulation techniques.
Familiarize with DuckDB functionalities.
Test data analysis in Jupyter Notebooks.

Behavioral Questions

Explain a past data challenge.
Describe team collaboration experiences.
Discuss problem-solving under pressure.
Explain communication of complex insights.

Frequently Asked Questions