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[Mercor] Data Analyst | $100 / hr Remote

[Mercor] Data Analyst | $100 / hr Remote

Crossing HurdlesOxford, Canterbury, New Zealand
1 day ago
Job description

Data Analyst | $100 / hr Remote | Mercor at Crossing Hurdles

We are seeking experienced data scientists to work on cutting‑edge AI model development in a flexible, remote hourly contract role.

Position : Exceptional Data Scientists

Referral Partner : Crossing Hurdles

Type : Hourly contract

Compensation : $60–$100 per hour

Location : Remote

Duration : Minimum 1 month, with potential extension based on project scope and performance

Commitment : 10–40 hours / week, flexible and asynchronous

Role Responsibilities

  • Design experiments, gather and preprocess data, build and evaluate models.
  • Collaborate closely with engineering teams to deploy production‑ready solutions.
  • Write, review, and validate prompt‑based questions used to train AI systems.
  • Work proficiently in Python and Jupyter Notebooks.
  • Utilize machine learning frameworks like TensorFlow or PyTorch.
  • Analyze large datasets and build predictive models.

Requirements

  • Strong professional experience in data science or applied analytics.
  • Highly skilled in Python and Jupyter Notebooks.
  • Experience with libraries including numpy, pandas, scipy, sympy, scikit‑learn, torch, tensorflow.
  • Bachelor’s degree in data science, statistics, computer science, or related field.
  • Strong background in exploratory data analysis, statistical inference, machine learning workflows, model evaluation, feature engineering, data preprocessing, A / B testing, and causal inference.
  • Excellent verbal and written communication skills.
  • Strong attention to detail.
  • Application process

    (Takes 20 minutes)

  • Upload resume
  • AI interview based on your resume (15 minutes)
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Contract
  • Job function

  • Research and Analyst
  • IT System Data Services
  • Data Infrastructure and Analytics
  • #J-18808-Ljbffr

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    Data Analyst • Oxford, Canterbury, New Zealand

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