Foxconn · 21 hours ago
Data Scientist
Milwaukee, WI, US
Full-time
Onsite
Entry, Mid Level
2+ years expFoxconn E BG Group is a global leader in technology services and smart manufacturing, expanding across electric vehicles, digital health, and robotics. They are seeking a Data Scientist to join their Smart Manufacturing Platform team, focusing on designing, developing, and deploying data science and GenAI solutions for factory and industrial applications.
Consumer ElectronicsElectronicsHardwareInformation TechnologyManufacturingProduct DesignSoftware
Responsibilities
Design, build and maintain end-to-end data science and GenAI solutions for manufacturing use cases, from problem framing and data exploration through model development, validation, deployment and monitoring
Develop and operationalize GenAI and LLM-based applications for industrial scenarios, such as:
Natural-language copilots for process engineers and operators to query production, quality and equipment data
Work-instruction and SOP assistants that summarize and personalize procedures by product, line or station
Root-cause and anomaly analysis assistants that explain out-of-control conditions and suggest likely causes
NL-driven maintenance and quality-report generators that transform logs and sensor data into clear narratives
Implement natural-language–based data analytics and data modeling workflows that convert user questions into reproducible analyses (e.g., auto-generated SQL / queries, model runs, dashboards) and return interpretable results aligned with KPIs such as yield, scrap, downtime and OEE
Work with structured and unstructured data from diverse factory and enterprise sources (MES, ERP, sensor/IoT data, images, PDFs and logs), including data ingestion, cleaning, feature engineering and data quality checks
Build and refine GenAI workflows including prompt design, retrieval-augmented generation (RAG), vector search, tool-calling and guardrails, with a focus on safety, reliability, latency and explainability in production settings
Collaborate with software engineers and architects to integrate ML and GenAI models into backend services and the Smart Manufacturing Platform, supporting API design, performance tuning and lifecycle management
Participate in planning and roadmap discussions for AI initiatives: help define scope, technical approach, success metrics, data requirements and deployment plans across multiple plants and product lines
Create clear documentation, technical reports and reusable code artifacts so that solutions can be supported, scaled, and transferred to other teams or sites
Engage with cross-functional stakeholders (manufacturing, operations, quality, IT, business teams) to understand needs, prioritize opportunities and present findings and recommendations to both technical and non-technical audiences
Stay current with advancements in data science, machine learning and GenAI (models, frameworks, tooling, MLOps/LLMOps) and share best practices within the team
Perform other duties and responsibilities as required or requested
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related field required
2–5 years of recent, hands-on experience in data science and machine learning, including delivering models or analytics solutions into production or business use
Strong foundation in core ML techniques (regression, classification, clustering, time-series, deep learning; supervised and unsupervised methods) and experience applying them to real business problems
Practical experience with generative AI and large language models, such as prompt engineering, fine-tuning or adapting foundation models, building chat/assistant workflows, or RAG-style applications
Proficiency in Python for data science and ML (e.g., pandas, NumPy, scikit-learn; plus PyTorch or equivalent)
Solid understanding of data engineering and storage technologies, including SQL and NoSQL databases and data pipeline/ETL concepts
Strong analytical and problem-solving skills, with the ability to design experiments, interpret complex results, and drive decisions using data
Team-oriented mindset and demonstrated ability to collaborate with distributed, cross-functional teams, with excellent written and verbal communication skills
Preferred
Master's degree
Familiarity with modern software development practices (Git, code review, testing, CI/CD) and with web/API concepts (RESTful services, basic HTML/CSS/JavaScript)
Experience working with cloud platforms and, ideally, GPU-accelerated environments for deploying AI models
Company
Foxconn
Established in Taiwan in 1974, Hon Hai Technology Group (Foxconn) (2317: Taiwan) is the world’s largest electronics manufacturer.
10001+ employees
H1B Sponsorship
Foxconn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2022 (1)
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$5.75BKey Investors
Sprint Vc
2025-10-28Post Ipo Debt· $757.58M
2025-08-07Post Ipo Debt· $3.82B
2024-11-20Post Ipo Debt· $1.1B
Leadership Team
S
Shen Tao-pang
Chief Financial Officer
IC Lin
Senior AVP
Recent News
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