WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. Backed by Sequoia.
About the role
WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Data Science, AI, or equivalent experience
- At least 1 year of experience in Data Science
- Computer Vision expertise – hands-on experience with CV libraries and models (OpenCV, YOLO, etc.)
- Machine Learning – solid understanding of ML algorithms and model development
- Python proficiency – demonstrated ability to write production-quality Python code
More about this role
Responsibilities related to data science and machine learning in a manufacturing context. Key tasks include collaborating with cross-functional teams to create impactful data solutions, analyzing large datasets to enhance business metrics, designing and implementing machine learning models, developing scalable computer vision solutions, and maintaining web applications for data initiatives. Additionally, it involves interpreting data insights, communicating findings to stakeholders, and delivering presentations with visualized data and business conclusions
- Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
- Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
- Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
- Researching and developing scalable computer vision and machine learning solutions for complex problems
- Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
- Interpret actionable insights from data and...
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