🔑 Free Exclusive Career Guide: Beginner Data Scientist Job Description and RoadMap
A Beginner Data Scientist applies statistical analysis, programming, and machine learning techniques to uncover patterns, make predictions, and support data-driven decision making.
Core Responsibilities
- Clean, preprocess, and analyze structured and unstructured data.
- Build and evaluate statistical and machine learning models.
- Visualize findings and communicate insights to stakeholders.
- Collaborate with analysts, engineers, and business teams.
- Document workflows and ensure reproducibility.
Skills & Tools
- Python, R, SQL, Jupyter Notebooks
- Machine Learning: scikit-learn, TensorFlow, PyTorch
- Data Visualization: matplotlib, seaborn, Tableau
- Statistics, probability, hypothesis testing
- Critical thinking and problem solving
Affiliate Digital Software Tools
- MindManager
- EndNote Reference
- WinZip & ReviverSoft
- Advance Systems Repair
- Corel, Roxio & Pinnacle MultiMedia
- CookieYes
- Malwarebytes Cybersecurity
Education & Certifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
- Certifications: IBM Data Science Professional Certificate, Google Data Analytics, Microsoft Certified: Data Scientist Associate
Career Roadmap
- Entry Level: Junior Data Scientist / Data Analyst
- Mid Level: Data Scientist / Machine Learning Engineer
- Senior Level: Senior Data Scientist / Lead Data Scientist
- Leadership: Head of Data Science / Director of Analytics
Salary Range (USD)
$65,000 – $110,000 annually.
References
Data Career Path Series DataViz Explorer Page 1 of 1