TechBiz Global

Junior Data Scientist

TechBiz Global

full-time

Posted on:

Location Type: Remote

Location: Albania

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Job Level

About the role

  • Assist in developing, testing, and improving machine learning models, with a focus on bandit algorithms and experimentation frameworks.
  • Support the setup, execution, and analysis of A/B tests and online experiments to evaluate the impact of our generative AI-driven products.
  • Assist with deploying and monitoring models and experiments on GCP (Airflow, Docker, Cloud Run, SQL databases, etc.), following existing patterns and CI/CD workflows.
  • Perform exploratory data analysis, data validation, and basic feature engineering to support modelling and experimentation efforts.
  • Work closely with senior data scientists, engineers, and product stakeholders to understand business problems and translate them into actionable tasks.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field with 1+ years of relevant work experience.
  • Solid foundation in SQL and Python, including experience with common libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Statsmodels.
  • Basic understanding of supervised learning, experimentation, causal inference, and concepts in reinforcement learning and multi-armed bandits.
  • Foundational knowledge of probability, statistics, and linear algebra.
  • Working knowledge of Git, including version control and collaboration through pull requests and code reviews.
  • Ability to write good documentation and ability to explain analysis results clearly to technical and non-technical audiences
  • Familiarity with deploying machine learning models in production cloud environments (GCP or AWS).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningbandit algorithmsA/B testingdata analysisfeature engineeringSQLPythonPandasNumPyScikit-learn
Soft Skills
communicationcollaborationdocumentationproblem-solving