Role Overview
Aquent is seeking a data professional to bridge the gap between advanced data science and real-world product innovation, directly influencing business decisions and transforming complex datasets into actionable insights.
What You Will Do
Design, develop, and deploy predictive machine learning models, architect and implement GenAI-based solutions, and collaborate closely with cross-functional teams to translate complex business needs into measurable solutions.
Why It Might Be a Fit
The ideal candidate will have a strong proficiency in Python, solid statistical foundations, feature engineering, model validation, and experimentation, and excellent communication skills to explain complex technical results to non-technical stakeholders.
Requirements
- Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a closely related quantitative field
- At least 3 years of hands-on experience in data science, with a proven track record of implementing both predictive ML and GenAI in real-world projects
- Strong proficiency in Python, solid statistical foundations, feature engineering, model validation, and experimentation
- Deep understanding of GenAI concepts, including prompt engineering, retrieval-augmented architectures, vector databases, and GenAI evaluation frameworks
- Advanced SQL skills, experience with data visualization tools (such as Power BI or Tableau), and proficiency with Git
- Excellent communication skills, with the ability to explain complex technical results and AI limitations simply to non-technical and scientific stakeholders
To apply for this job please visit linkedin.com.
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