Exceptional Data Scientists

Mercor
Charing Cross, United Kingdom
13 days ago

Role details

Contract type
Temporary to permanent
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 51K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

A/B testing
Artificial Intelligence
Data analysis
Big Data
Python
Machine Learning
NumPy
TensorFlow
SciPy
Jupyter Notebook
Data Processing
Feature Engineering
PyTorch
Pandas
Scikit Learn
Information Technology

Job description

Mercor is seeking data scientists to support one of the world's leading AI labs in building robust, high-performance systems for next-generation machine learning applications. In this role, you will 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. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt-based questions used to train AI systems.

Requirements

  • Have over 3+ years of professional experience in data science or applied analytics.
  • Are highly skilled in Python and Jupyter notebooks.
  • Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
  • Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia.
  • 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.
  • Demonstrate excellent verbal and written communication skills.
  • Have strong attention to details.

Benefits & conditions

  • Commitment: 20-40 hours per week, with potential to scale up to 80 hours.
  • Structure: Fully remote and asynchronous - set your own schedule.
  • Duration: Minimum 1 months, with possible extension based on project scope and performance.
  • Start Date: Early September, with applications reviewed on a rolling basis.

About the company

About Mercor * Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. * Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. * Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems.

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