All job description templates
Engineering$115,000 – $160,000
Data Scientist Job Description Template
A Data Scientist extracts actionable insights from large, complex datasets to drive product and business decisions. They design and deploy machine learning models, build analytical pipelines, and communicate findings clearly to both technical and non-technical stakeholders.
Responsibilities
- Analyse large datasets to identify trends, patterns, and business opportunities
- Build, train, and evaluate machine learning models for prediction and classification tasks
- Collaborate with product and engineering to scope, instrument, and interpret A/B experiments
- Develop dashboards and visualisations to communicate insights to leadership
- Maintain and improve data pipelines and feature stores
- Translate complex analyses into clear, actionable recommendations
Requirements
- 3+ years of experience in a data science or machine learning role
- Proficiency in Python (pandas, scikit-learn, NumPy) and SQL
- Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost
- Strong statistical foundations: regression, hypothesis testing, Bayesian inference
- Ability to write production-quality code and work in a version-controlled environment
- Excellent data visualisation skills (Matplotlib, Plotly, or Tableau)
Nice to Have
- Experience with distributed computing (Spark, Dask)
- Familiarity with MLOps tools (MLflow, Weights & Biases)
- Background in NLP or computer vision
Key Skills
PythonSQLscikit-learnPyTorchSparkA/B TestingTableauStatistics
Typical Salary Range
$115,000 – $160,000
Varies by location and experience
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