2 часа назад
Data Analyst (AI)
70 000 - 100 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (AI): Collecting, processing, and analyzing large datasets to generate actionable insights for manufacturing quality intelligence with an accent on data cleaning, validation, and automation. Focus on supporting text and document annotation initiatives to power NLP and LLM-based AI solutions.
Location: Remote
Salary: $70,000 – $100,000
Company
is a manufacturing-focused startup building an AI-powered platform to transform product quality and customer satisfaction.
What you will do
- Analyze large, complex datasets to uncover trends and actionable insights using SQL, Python, and Excel.
- Clean, validate, and pre-process client datasets for analysis and modeling.
- Support text and document annotation initiatives to generate high-quality labeled data for AI solutions.
- Translate complex analysis into compelling business narratives and strategic recommendations.
- Build lightweight scripts and workflows to automate data handling and improve internal processes.
- Collaborate with Senior and Lead Analysts to interpret client data and propose data-driven strategies.
Requirements
- Bachelor's degree in engineering, science, mathematics, computer science, or a related field.
- 2–3 years of relevant experience in manufacturing, aerospace, consumer, automotive, or startup environments.
- Strong proficiency in Python, SQL, and Excel or Google Sheets.
- Ability to independently drive projects from problem definition through execution.
- Excellent written and verbal communication skills.
- Entrepreneurial mindset with the ability to thrive in a fast-paced startup environment.
Nice to have
- Experience with Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs).
- Experience in a fast-growing startup environment.
Culture & Benefits
- Work with cutting-edge AI technology in the manufacturing sector.
- Competitive compensation package including equity.
- Generous time off policy.
- Collaborative, mission-driven team environment.
- Lunch stipend and additional benefits.
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