
Advanced Data Analyst
4 days ago
Key Responsibilities:
">- Employ advanced mathematical and statistical techniques to uncover patterns in large datasets.
- Develop predictive models, actionable insights, and solutions that drive business growth.
- Collaborate with cross-functional teams to identify questions and issues for data analysis projects.
- Design and implement software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
- Conduct exploratory and novel solution development activities to stay ahead of industry trends.
- Extract data from diverse sources using SQL and other query languages.
- Apply data cleansing, outlier identification, and missing data techniques to ensure high-quality data.
- Coordinate production deployment activities and communicate effectively with stakeholders.
Required Skills and Qualifications:
">- Proficiency in machine learning and advanced analytical methods.
- Strong programming skills in Python.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Exposure to the semiconductor industry is a plus but not a requirement.
- Ideal candidates hold a Master or PhD degree in Computer Science, Mathematics, Statistics, Software Engineering, or a related field.
- More than 1 year of relevant work experience.
Benefits:
">- Award-winning company culture.
- Opportunities for career growth and professional development.
- Diverse and inclusive work environment.
Others:
">- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and adapt to changing priorities.
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