The Role
Data Science Intern supporting data collection, cleaning, exploratory analysis, predictive model development, machine learning pipelines, AI/GenAI prototypes, dashboards, reporting, and technical documentation. The role collaborates with data scientists and engineers to turn raw data into business insights and solutions. Candidates must be enrolled in a quantitative undergraduate or graduate program and possess strong communication, reasoning, mathematical, organizational, and computer skills.
Summary Generated by Built In
. Job ProfileJob TitleInternDepartmentProcess DepartmentDirect SupervisorProcess ManagerDirect SubordinatesNoneII. 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 Duties1Data Preparation: Collect, clean, transform, and organize raw data from various sources to make it ready for analysis and modeling.
2Exploratory Analysis: Conduct exploratory data analysis (EDA) to find hidden trends, patterns, and insights that drive business decisions. 3Model Development: Assist in building, testing, and refining statistical models, machine learning pipelines, and AI/GenAI prototypes.
4Visualization & Reporting: Create clear dashboards, reports, and visual aids to communicate complex technical findings to non-technical teams.
5Documentation: Document assumptions, methodologies, model performance metrics, and limitations to ensure reproducible research.
6Other duties as assigned7Nothing in the Position Description restricts management's right to assign or re-assign duties and responsibilities to this job at any timeIⅤ. QualificationJob RequirementsLanguageLanguage 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
Education
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 jobProfessional Knowledge, SkillsSolid ability and understanding of behavioral based and competency based interviewingAbility to source passive candidates through multiple methods (job boards, social media, networking, etc.)strong decision-making experienceExcellent communication and interpersonal skillsAbility to create relationships with hiring manager and to understand their needsOutstanding organizational and planning abilitiesTraining RequiredCompany Policy, especially HR Policy;New hire Orientation;Related ERP trainingV. 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.
VI. Key Performance Indicators:
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 Duties1Data Preparation: Collect, clean, transform, and organize raw data from various sources to make it ready for analysis and modeling.
2Exploratory Analysis: Conduct exploratory data analysis (EDA) to find hidden trends, patterns, and insights that drive business decisions. 3Model Development: Assist in building, testing, and refining statistical models, machine learning pipelines, and AI/GenAI prototypes.
4Visualization & Reporting: Create clear dashboards, reports, and visual aids to communicate complex technical findings to non-technical teams.
5Documentation: Document assumptions, methodologies, model performance metrics, and limitations to ensure reproducible research.
6Other duties as assigned7Nothing in the Position Description restricts management's right to assign or re-assign duties and responsibilities to this job at any timeIⅤ. QualificationJob RequirementsLanguageLanguage 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 ConditionThe employee is regularly required to stand or sit for long periods. Duties will include long periods of viewing a computer monitor.Other RequirementsMATHEMATICAL 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 jobProfessional Knowledge, SkillsSolid ability and understanding of behavioral based and competency based interviewingAbility to source passive candidates through multiple methods (job boards, social media, networking, etc.)strong decision-making experienceExcellent communication and interpersonal skillsAbility to create relationships with hiring manager and to understand their needsOutstanding organizational and planning abilitiesTraining RequiredCompany Policy, especially HR Policy;New hire Orientation;Related ERP trainingV. 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.
VI. Key Performance Indicators:
Skills Required
- Currently enrolled in an undergraduate or graduate BS, MS, or PhD program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
- Ability to read, understand, and interpret English-language documents and instructions
- Ability to communicate effectively with team members, engineers, leadership, and customers
- Ability to perform basic mathematical operations using whole numbers, fractions, and decimals
- Ability to solve practical problems and work with variable conditions
- Knowledge of or familiarity with manufacturing software
- Strong communication and interpersonal skills
- Excellent organizational and planning abilities
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The Company
What We Do
Fuyao Group provides total solutions for safety glass and automotive trim for a wide range of transportation vehicles, including design, production, sales and service related to automotive-grade float glass, automotive glass, locomotive glass, luggage racks and window trim. Our automotive glass manufacturing facility in Dayton, Ohio enables us to produce up to 4 million automotive units and 4 million windshields for the ARG market. We currently supply aftermarket glass to companies around the world.
