Job Title: Data Scientist- Strong Data Modeling
Job Description:
We are seeking an experienced Data Analyst to join our team. The ideal candidate will have a strong background in cleaning, preprocessing, and analyzing large datasets, along with expertise in developing data models and algorithms. This role involves collaborating with Quality Engineers to establish data validation strategies and maintain the data pipeline and infrastructure.
Key Responsibilities:
- Data Cleaning and Preprocessing:
- Clean and preprocess large datasets to ensure data quality and integrity.
- Utilize statistical software and database languages to manage and analyze data.
- Data Modeling and Algorithm Development:
- Develop and implement data models and algorithms to extract insights and support decision-making.
- Apply knowledge of data mining and pattern recognition to identify trends and anomalies.
- Data Pipeline and Infrastructure Management:
- Establish and maintain the data pipeline, ensuring efficient data flow and accessibility.
- Collaborate with Quality Engineers to develop and implement data validation strategies.
- Statistical Analysis:
- Utilize statistical tools and techniques to analyze data, selecting the appropriate methods for various analysis problems.
- Conduct applied machine learning on large datasets to derive actionable insights.
- Documentation and Communication:
- Document methodologies, findings, and data validation strategies clearly and effectively.
- Demonstrate effective written and verbal communication skills to convey complex data insights to stakeholders.
- Collaboration and Best Practices:
- Develop a strong understanding of MathWorks development practices and apply them in day-to-day tasks.
- Work closely with cross-functional teams to ensure data-driven decision-making.
Skills and Qualifications:
- Experience:
- More than 3 years of experience as a Data Analyst, with a proven track record in cleaning, analyzing, and interpreting large datasets.
- Experience with statistical software, particularly Pandas, and database languages (e.g., SQL) for over 3 years.
- Technical Skills:
- Proficient in scripting with Python (more than 3 years preferred).
- Expert-level proficiency in SQL and Excel for data analysis and reporting.
- Experience with SEMI chip or SEMI equipment is a plus.
- Familiarity with MATLAB is a valuable addition, particularly in applied machine learning.
- Analytical Skills:
- Demonstrated ability to select and apply the right statistical tools for different data analysis problems.
- Strong problem-solving skills with a focus on data-driven decision-making.
- Language Skills:
- Business-level proficiency in English, both written and verbal.
Nice to Have:
- Proficiency with reporting tools such as Power BI or Tableau.
- Experience with data security practices.