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Junior Data Scientist

Remote Full-time 0-2 years Bachelor's Degree
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Position Overview

We are looking for a junior data scientist who wants to be taught what a number is allowed to prove. You will run scoped analyses, fit baseline models, and learn to check your work for the things that quietly ruin a result — leakage, a bad split, a sample that was never representative.

Key Responsibilities

  • Run well-scoped analyses — cohorting, segmentation, distribution work — with a senior scientist reviewing the method.
  • Prepare and validate datasets for modelling: leakage checks, missingness, and outlier handling.
  • Fit baseline models with scikit-learn and report the metrics honestly, including where they are weak.
  • Implement parts of experiment analysis: assignment checks, metric computation, and significance testing.
  • Write notebooks and scripts someone else can rerun and get the same answer from.
  • Present findings to your team with the caveats stated out loud, not buried in an appendix.
  • Take review feedback on your choice of method, not only on your code.
  • Learn the domain behind the data before you start modelling it.

Skills & Qualifications

  • 0-2 years in a data science or quantitative analysis role, or a strong internship.
  • Python with pandas, numpy, and scikit-learn.
  • SQL good enough to pull and shape your own data without asking someone else.
  • Solid statistics: distributions, hypothesis testing, regression, and the bias-variance trade-off.
  • A working understanding of train, validation, and test splits and how overfitting shows up.
  • Reproducible working habits — version control, fixed seeds, declared environments.
  • Bachelor's degree in a quantitative field, or equivalent grounding.

Nice to Have

  • Exposure to A/B test design or analysis.
  • Time-series forecasting basics.
  • Some hands-on time with PyTorch.
  • Care about how a result is visualized, not only whether it is correct.

What You'll Gain

  • Competitive salary.
  • Fully remote — work from wherever you're most productive.
  • Annual learning budget for books, courses, and conferences.
  • Top-tier hardware and software tooling.
  • Private health insurance and flexible time off.

Apply for this Position

Send your CV and a short cover letter. We'll reply by email.

Apply for this Position