Job Requirement for Data Science Associate Job Opening at Capillary:

• Proficiency in programming languages like Python or R is essential for data manipulation, analysis, and model development. These languages provide the tools and libraries needed for various data science tasks.
• The ability to clean, preprocess, and analyze data is at the core of data science. EDA skills help uncover insights and patterns that drive decision-making.
• Understanding machine learning concepts, algorithms, and techniques is fundamental for developing predictive models and making data-driven decisions.
• Effective data visualization skills enable you to communicate complex findings in a clear and understandable manner, facilitating better insights and decision-making.
• Strong problem-solving skills allow you to approach challenges systematically, formulate hypotheses, design experiments, and derive meaningful insights from data.

Preferred Skill:

• Proficiency in programming languages such as Python or R.
• Basic understanding of machine learning algorithms and statistics.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualisation tools (e.g., Matplotlib, Seaborn).

Non-Technical Skills:

• Strong problem-solving skills and attention to detail.
• Effective communication and teamwork abilities.