Job Title

Job Description (Posting). To create systems and processes for gathering and studying various types of unorganized 'big data' with an aim is to produce useful insights and visualization tools to improve client service delivery and enhance products.Requirements and Responsibilities1. Experience in cleaning, preprocessing, and analyzing large datasets( more than 3 years)2. Ability to develop and implement data models and algorithms(preferred more than 3 years) 3. Knowledge of data mining and pattern recognition with 3 years of experience preferred 4. Establish and maintain the data pipeline and infrastructure. Collaborate with Quality Engineers to develop data validation strategies. (more than 3 years preferred) 5. Develop a strong working knowledge of MathWorks development practicesSkills Qualification 1. Language English: Business level2. More than 3 years of experience to as Data analyst 3. Experience with statistical software (pandas) and database languages (e.g., SQL) (3 years)4. Experience with scripting in Python, more than 3 years preferred) 5. Expert level of proficiency in SQL, Excel6. Experience of Semi Chip or SEMI Equipment added advantage7. Experience in MATLAB can indeed be a valuable addition.8. Applied experience with machine learning on large datasets. (more than 3 years) 9. Demonstrated skills in selecting the right statistical tools given a data analysis problem.10. Demonstrated effective written and verbal communication skills.Nice to Have: 1. Proficient with reporting tools such as; PowerBI or Tableau is a plus. 2. Experience with data securityWork Location: Candidate should work from customer office at Portland, Oregon USA. (1.) To build algorithms and design experiments to merge, manage and extract data to supply tailored reports to colleagues, customers or the wider organization. (2.) To use machine learning tools and statistical techniques to develop custom data models and algorithms to apply to data sets (3.) To identify meaningful insights from large data and metadata sources and interpret findings from analysis and experiments through data mining and data discovery analytics (4.) Work with stakeholders to identify opportunities for leveraging data to drive business solutions (5.) To create reports that provide meaningful insights for customersorstakeholders to base business actionsordecisions.