Data Scientist | $100/hr Remote

Crossing Hurdles

United Kingdom

Remote

GBP 62,923 - 104,872

Part time

14 days+
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Job summary

A technology company is looking for a mid-senior level Data Scientist to join their remote team. The role involves designing experiments, preprocessing data, and building models while collaborating with engineering teams. Candidates should have strong experience in data science, proficiency in Python, and familiarity with major data science libraries. This is an hourly contract position with flexible commitment of 10-40 hours per week.

Qualifications

  • Strong professional experience in data science or applied analytics.
  • Experience with Python and Jupyter notebooks.
  • Familiarity with data science libraries including numpy, pandas, and scikit-learn.

Responsibilities

  • Design experiments and perform hands-on data science tasks.
  • Gather and preprocess data.
  • Build and evaluate models in collaboration with engineering teams.
  • Ensure quality and consistency through collaboration and feedback.

Skills

Data Science
Python
Jupyter Notebooks
Machine Learning
Data Preprocessing
Statistical Inference

Tools

numpy
pandas
scikit-learn
tensorflow

Job description

Join to apply for the Data Scientist | $100/hr Remote role at Crossing Hurdles

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Base Pay Range

$60.00/hr - $100.00/hr

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Position Details
  • Position: Data Scientist
  • Type: Hourly Contract
  • Compensation: $60-$100/hour
  • Location: Remote
  • Duration: Approximately 2 months (extension feasible)
  • Commitment: 10-40 hours per week, fully asynchronous
Role Responsibilities
  • Focus on hands‑on data science tasks, such as designing experiments
  • Gathering and preprocessing data
  • Building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions
  • Ensure output consistency and quality through collaboration with peers and feedback from reviewers
Ideal Qualifications
  • Have strong professional experience in data science or applied analytics.
  • Skilled in Python and Jupyter notebooks.
  • Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
  • Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.
Application Process
  • Upload resume
  • AI interview based on your resume (15 min)
Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Analyst, Engineering, and Information Technology

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