QUALIFICATIONS / EDUCATION / SKILLS AND EXPERIENCE:

1. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
2. Applicant should have at least two (2) years of proven experience in data analysis, machine learning, and
   statistical modeling, preferably in a semiconductor manufacturing environment.
3. Industry experience with Overlay Analysis is beneficial and experience with fusion/hybrid bonding technologies
   and advanced Stepper technology is a plus.
4. Excellent oral and written communication skills with the ability to effectively present information to factory
   employees and engineers.
5. Statistical modeling and analysis, using tools such as JMP, R, Minitab, MATLAB and Origin
6. Fluency in scripting languages such as Python, and JSL including capability for automating analyses
7. Experience/familiarity working with time-series data and data visualization techniques
8. Knowledge of AI/ML frameworks for predictive analytics
9. Proficiency in SQL, NoSQL databases, scalable data pipeline development, applying data cleansing, outlier
   identification, and missing data techniques world be a plus, but not mandatory.
10. Experience in providing data driven intelligence for optimization of manufacturing processes.

PHYSICAL DEMANDS:

1. While performing duties of this job, individual is regularly required to stand, sit, reach with hand and arms,
   stoop, kneel, crouch, crawl and lift/move up to 50 pounds.
2. Visual acuity required.
3. Individual is required to use hands to finger, handle or feel objects, tools, or controls frequently and be able to
   reach with hand and arms above shoulder level occasionally.
4. Ability to wear proper cleanroom attire and work inside the fab/cleanroom up to 75% of the time.
   Additional Comments:
   This job description in no way states or implies that these are the only duties to be performed by the employee in
   this position. Employee will be required to follow any other job-related instructions and to perform any other jobrelated
   duties requested by any person authorized to give instructions or assignments.
   A review of this position has excluded the marginal functions of the position that are incidental to the performance
   of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are
   subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job
   successfully, the incumbents will possess the skills, aptitudes and abilities to perform each duty proficiently. Some
   requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of
   themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills or
   abilities.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

To perform this job successfully, individual must be able to perform each of the primary duties satisfactorily. The
requirements listed below are representative of the knowledge, skill and/or ability required:
1. Determine which data are available and useful for the project.
2. Collect, categorize, and analyze data.
3. Create, validate, test, and update algorithms and models.
4. Use data visualization software to present findings.
5. Analyze large amounts of complex data to extract insights and drive decision-making.
6. Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business
challenges.
7. Design experiments to test hypotheses and measure the effectiveness of solutions.
8. Make business recommendations based on data analysis.
9. Must be able to travel domestically and internationally overnight, as needed, up to 30% of the time.
10. Other duties, as assigned.

ADDITIONAL DUTIES AND RESPONSIBILITIES:

1. Ability to analyze complex data sets and derive actionable insights for high performance engineering teams
2. Strong problem-solving skills and the ability to think critically and creatively
3. Stay updated with the latest advancements in data science and semiconductor manufacturing processes to
   improve methodologies and tools for continuous improvement.
4. Complies with EVG and customer cleanroom policies.
5. Ability to work well under minimal supervision as well as with a team.
6. Excellent verbal and written communication skills
7. An ability to effectively collaborate with internal and external customers regarding current issues.