Capillary Technologies is seeking candidates to join their team in Bengaluru for the role of Data Science Associate. As a Data Science Associate at Capillary Technologies, you’ll play an essential role in leveraging data to drive insights and innovation. A Bachelor’s Degree is required to be eligible for this position.
Company Name: Capillary Technologies
Job Role: Data Science Associate
Required Education: Bachelor’s Degree
Job Location: Bengaluru
Job Description:
The associate will support the data science team in extracting insights, building predictive models, and generating actionable recommendations from complex datasets. They will work closely with senior data scientists, data engineers, and other stakeholders to contribute to data-driven decision-making processes.
Required Qualifications:
- Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).
- 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 visualization tools (e.g., Matplotlib, Seaborn).
- Strong problem-solving skills and attention to detail.
- Effective communication and teamwork abilities.
Job Requirements:
- Programming Languages (Python/R): 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.
- Data Manipulation and Analysis: 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.
- Machine Learning: Understanding machine learning concepts, algorithms, and techniques is fundamental for developing predictive models and making data-driven decisions.
- Data Visualization: Effective data visualization skills enable you to communicate complex findings in a clear and understandable manner, facilitating better insights and decision-making.
- Problem-Solving and Analytical Thinking: Strong problem-solving skills allow you to approach challenges systematically, formulate hypotheses, design experiments, and derive meaningful insights from data.
