Data Scientist Skills

Critical skills for data scientists that employers are looking for in today's marketplace. Include these skills in your resume to increase your chances of getting hired.

Essential Skills

These are the most important skills for a Data Scientist position. Include them in your resume if you have experience with them.

Python
R
SQL
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
TensorFlow
PyTorch
Keras
XGBoost
LightGBM
NLTK
spaCy
Jupyter Notebook
Google Colab
Databricks
Apache Spark
Hadoop
Airflow
Snowflake
BigQuery
AWS Sagemaker
Power BI
Tableau
Looker
Excel
DVC
MLflow
Docker
Streamlit
FastAPI
PostgreSQL
Redshift

Click on any skill to copy it to your clipboard. Add these skills to your resume to make it more likely to pass ATS scans.

Skills Popularity Analysis

This chart shows the most in-demand skills for Data Scientist positions based on current job market analysis. Hover over each bar to see exact percentages.

How to Showcase These Skills

  • Include relevant skills in your resume's skills section
  • Demonstrate these skills in your work experience with concrete examples
  • Highlight certifications or training related to these skills
  • Tailor your skills section to match the job description
  • Include both technical skills and soft skills

Resume Tips for Data Scientist

  • Quantify your achievements with specific metrics
  • Include relevant projects that showcase your expertise
  • Keep your resume concise and focused on relevant experience
  • Use industry-specific keywords throughout your resume
  • Proofread carefully to eliminate errors

Create Your Data Scientist Resume

Use our AI-powered resume builder to create a professional Data Scientist resume with these skills included.