Lead Data Scientist
NielsenIQ
Full time💰 EUR 37K–53K
Data Scientist
aisquared· Engineering
About this role
Data Scientist
Washington, DC (Hybrid)
About the Role:
We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions.
Key Responsibilities:
- Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines.
- Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness.
- Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way.
- Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions.
- Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production.
- Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment.
- Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems.
- Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.
Qualifications:
- 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production.
- Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred.
- Strong background in Python and ML frameworks such as PyTorch or TensorFlow.
- Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
- Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure).
- Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML.
- Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions.
- Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams.
- A proactive, self-starter mindset with a passion for applied research and innovation.
Frequently Asked Questions
Is the salary disclosed for the Data Scientist position at aisquared?
The salary for this Data Scientist role at aisquared is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist position at aisquared located?
This Data Scientist role at aisquared is based in Washington, DC. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Scientist at aisquared belong to?
This Data Scientist position is part of the Engineering department at aisquared. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Scientist position at aisquared?
Click the "Apply Now" button on this page. You will be redirected to aisquared's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Scientist job at aisquared posted?
This Data Scientist position at aisquared was posted on Sep 24, 2025. Apply as soon as possible — early applications are often reviewed first.
Data Scientist
aisquared
You'll be redirected to aisquared's official application page on Greenhouse.