Want Job Alerts? Join UsCapillary Technologies Off Campus Freshers Recruitment Details:
About Company:
Capillary Technologies is an international SaaS technology company. Capillary’s primary product is its cloud-based customer loyalty/customer engagement and e-commerce platform, Intelligent Loyalty. Capillary also offers loyalty and other marketing consulting services.
Job Profile: Data Science Associate
Degree Required: B.E/B.Tech/B.Sc
Experience Required: Freshers
Salary: Not Disclosed
Work Location: Bangalore
Last Date To Apply: ASAP
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.
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 Requirement
- 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.
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