Data Science Expert | Upto $120/hr | Remote

Data Science Expert | Upto $120/hr | Remote

Posted 4 days ago by Crossing Hurdles

Negotiable
Undetermined
Remote
United Kingdom

Summary: The Data Science Expert role at Crossing Hurdles involves supporting AI research labs by reviewing and refining AI-generated content, validating technical concepts, and providing structured feedback. The position is part-time and remote, requiring a commitment of 15–25 hours per week, with flexibility for up to 40 hours. Candidates should possess strong data science expertise and proficiency in relevant programming languages. The role is contracted hourly, with compensation ranging from $80 to $120 per hour.

Key Responsibilities:

  • Review and refine AI-generated prompts, responses, and code.
  • Validate concepts for technical accuracy.
  • Provide structured feedback on solution quality and clarity.
  • Tag and organize content by topic and difficulty.
  • Support benchmarking efforts to assess model capabilities.

Key Skills:

  • Strong experience in data science, machine learning, or applied statistics.
  • Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field (Bachelor’s minimum; advanced degree preferred).
  • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus.
  • Hands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorch.
  • Experience with statistical analysis, data wrangling, and feature engineering on large datasets.

Salary (Rate): £120.00/hour

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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.

Position : Data Science Expert

Type : Hourly Contract

Compensation : $80–$120/hour

Location : Remote

Duration : 1–2 months

Commitment : Part-time (15–25 hours/week, with flexibility up to 40 hours/week)

Role Responsibilities (Training support will be provided):

  • Review and refine AI-generated prompts, responses, and code.
  • Validate concepts for technical accuracy.
  • Provide structured feedback on solution quality and clarity.
  • Tag and organize content by topic and difficulty.
  • Support benchmarking efforts to assess model capabilities.

Requirements :

  • Strong experience in data science, machine learning, or applied statistics (industry or research).
  • Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field (Bachelor’s minimum; advanced degree preferred).
  • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus.
  • Hands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorch.
  • Experience with statistical analysis, data wrangling, and feature engineering on large datasets.

Application Process (Takes ~20 minutes):

  • Upload resume.
  • AI interview based on your resume (15 minutes).
  • Submit the form.