DS & QA Engineer

Job Title: Data Science & QA Engineer

Location: Hyderabad, India

Experience Required: 2-4 Years

Company Overview:

Nisieon is a forward-thinking technology firm dedicated to developing innovative solutions in data science and quality assurance. Our mission is to harness the power of data to drive business insights and ensure the highest standards of software quality. We are seeking talented individuals who are passionate about data science and quality assurance to join our dynamic team.

Job Overview:

We are looking for a skilled Data Science & QA Engineer.The ideal candidate will have a strong background in data analysis, machine learning, and software testing. This role involves developing data-driven solutions, ensuring the quality of our software products, and collaborating with cross-functional teams to deliver high-quality results.

Key Responsibilities:

- Develop and implement data models and algorithms to analyze data sets and generate actionable insights.

- Design, execute, and automate test cases to ensure the quality and performance of software applications.

- Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver robust solutions.

- Perform exploratory data analysis to identify trends, patterns, and anomalies.

- Validate data integrity and accuracy through rigorous testing and validation processes.

- Create and maintain comprehensive documentation for data models, algorithms, and test cases.

- Monitor and analyze system performance metrics to identify areas for improvement.

- Stay updated with the latest advancements in data science, machine learning, and quality assurance methodologies.

Qualifications:

- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

- 2-4 years of experience in data science, software testing, or a related field.

- Proficiency in programming languages such as Python, R, or Java.

- Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Tableau).

- Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).

- Strong understanding of software testing methodologies and tools (e.g., Selenium, JUnit, TestNG).

- Excellent problem-solving skills and attention to detail.

- Strong communication and teamwork abilities.

- Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

- Master’s degree in a related field.

- Experience with big data technologies (e.g., Hadoop, Spark).

- Knowledge of statistical analysis and hypothesis testing.

- Familiarity with CI/CD pipelines and version control systems (e.g., Git).