Overview
Skills
Job Details
Required Skills and Qualifications
Technical Skills:
Programming Languages: Proficiency in at least one or more data-centric languages, such as Python (most common, with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and R (popular for statistical analysis).
Database Management: Strong knowledge of SQL for querying and managing databases. Experience with NoSQL databases may also be required.
Statistics and Mathematics: A solid foundation in statistical concepts, including probability, hypothesis testing, regression analysis, and experimental design (e.g., A/B testing).
Machine Learning: A deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, and model evaluation metrics.
Data Visualization: Experience with data visualization tools like Tableau, Power BI, Matplotlib, Seaborn, or D3.js to create charts, dashboards, and reports.
Big Data Technologies: Familiarity with big data tools and frameworks like Apache Spark, Hadoop, and cloud platforms (e.g., AWS, Azure) is increasingly important.