Onsite Intern - Data Control

Fuyao Glass America Inc; Fountain Inn (SC); On-site; USD 21,000 - 30,000; Part time

Job summary

Fuyao Glass America Inc. is seeking an Onsite Data Control Intern in Fountain Inn, SC. You will collaborate with data scientists to turn raw data into business solutions, performing data collection, cleaning, analysis, and model development while exploring ML/GenAI prototypes.

The role emphasizes data preparation, exploratory analysis, visualization, and rigorous documentation, with duties expanding as needed to support ongoing projects.

Qualifications

• Currently enrolled in BS/MS/PhD in Data Science or a related quantitative field.
• Excellent communication and interpersonal skills and ability to read, understand, and discuss technical materials.
• Strong mathematical and reasoning abilities; ability to solve problems and work with data.

Responsibilities

• Data Preparation: Collect, clean, transform, and organize raw data from various sources for analysis and modeling.
• Exploratory Analysis: Conduct EDA to identify trends, patterns, and insights for business decisions.
• Model Development: Assist in building, testing, and refining statistical models, ML pipelines, and AI prototypes.
• Visualization & Reporting: Create dashboards and reports to clearly communicate findings to non-technical teams.
• Documentation: Document methodologies, model performance, and limitations for reproducible research.
• Other duties as assigned.

Skills

Communication skills

Organizational skills

Education

Bachelor/Master/PhD in data science or related quantitative field

Tools

ERP software

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Onsite Intern - Data Control

Non-key Position South Carolina, Fountain Inn, SC, US

II. Job Summary：
As a Data Science Intern, you will work alongside experienced data scientists and engineers to turn raw data into meaningful business solutions. You will help collect, clean, and analyze datasets, build predictive models, and explore emerging machine learning or AI technologies to solve real-world challenges.

NO. Representative Duties

1. 1 Data Preparation: Collect, clean, transform, and organize raw data from various sources to make it ready for analysis and modeling.
2. 2 Exploratory Analysis: Conduct exploratory data analysis (EDA) to find hidden trends, patterns, and insights that drive business decisions.
3. 3 Model Development: Assist in building, testing, and refining statistical models, machine learning pipelines, and AI/GenAI prototypes.
4. 4 Visualization & Reporting: Create clear dashboards, reports, and visual aids to communicate complex technical findings to non-technical teams.
5. 5 Documentation: Document assumptions, methodologies, model performance metrics, and limitations to ensure reproducible research.
6. 6 Other duties as assigned
7. 7 Nothing in the Position Description restricts management's right to assign or re-assign duties and responsibilities to this job at any time

Job Requirements Language Language spoken commonly in the workplace is English. - Ability to read, understand and comprehend documents such as safety rules, operating and maintenance instructions. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Ability to speak effectively and interact with other team members, engineers, leadership and customers.

Experience

N/A

Education

Education: Currently enrolled in an undergraduate or graduate degree program (BS, MS, or PhD) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Physical Condition

The employee is regularly required to stand or sit for long periods. Duties will include long periods of viewing a computer monitor.

Other Requirements

• MATHEMATICAL SKILLS - Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
• REASONING ABILITY - Ability to solve practical problems and deal with a variety of variables.
• COMPUTER SKILLS - Knowledge of and familiarity manufacturing software.

Knowledge, Skills & Abilities utilized on the job Professional Knowledge, Skills Solid ability and understanding of behavioral based and competency based interviewing

Ability to source passive candidates through multiple methods (job boards, social media, networking, etc.)

Excellent communication and interpersonal skills

Ability to create relationships with hiring manager and to understand their needs

Outstanding organizational and planning abilities

Training Required Company Policy, especially HR Policy;

Related ERP training

V. Work Environment

Bright, clean, and well-ventilated office building. While performing the duties of this job, the employee is occasionally exposed to extreme heat. The noise level in the work environment is usually moderate. Safety requirements for this position are safety glasses and steel-toed work shoes.