Data Scientist

Data Scientist

Work Arrangement: Remote

Work Location: USA

Requisition: #6452

Job Overview:

At Spirent, we’re not just shaping the future of testing and assurance - we’re redefining it. As a global leader in lab-to-live test automation and assurance solutions, we’ve spent decades at the forefront of telecommunications and networking innovation. Now, we’re entering a bold new era, harnessing the power of AI/ML and Generative AI to transform how networks and services are tested, automated, and assured.

We’re looking for a highly skilled and experienced Data Scientist to help lead this transformation. If you’re passionate about turning complex data into actionable insights, advancing the frontiers of anomaly detection, transformers, and Retrieval-Augmented Generation (RAG), and pushing the boundaries of what AI can do, this is your opportunity. Telecom experience is a bonus, but what matters most is your curiosity, creativity, and deep expertise in machine learning.

Join us and be part of our rockstar Landslide team, which is redefining the lab-to-live journey for our customers.

About Spirent Communications

Spirent is the leading global provider of automated test and assurance solutions for communications networks, cybersecurity, and positioning.

We provide innovative products, services, and managed solutions that address the test, assurance, and automation challenges of a new generation of technologies, including 5G, cloud, autonomous vehicles, and beyond. From testing in the lab to testing in the real world, Spirent helps companies deliver on their promise to their customers of a new generation of connected devices and technologies.

Why Spirent?... Because together we can shape tomorrow!

Spirent is its people. When you join the Spirent team, you will join forces and work alongside some of the industry’s most passionate subject matter experts. In an environment of innovation, you will find a place where you can grow, think, explore, create, and make change happen.

At Spirent, we believe that diversity and inclusion are essential to thriving in the ever-changing world of global technology. We embrace a culture where difference is valued and openness, mutual respect, collaboration, and fairness are considered fundamental. Spirent does not tolerate discrimination or offensive behavior of any kind. We are committed to creating workplaces that genuinely reflect the diversity of the world we serve and an environment where everyone feels empowered to bring their full, authentic self to work.

Your success is vital to our success, which is why we will support you to perform, grow, and contribute – with the confidence to be yourself. And to support your personal wellbeing, we hope you will love our dedication to creating the right work and life balance experience!

Join Spirent and together let’s shape tomorrow!

Job Responsibilities:

• Develop and optimize RAG-based systems to improve information retrieval and decision-making processes.
• Apply transformers and deep learning models to extract insights from large and complex datasets.
• Implement anomaly detection algorithms to identify unusual patterns and potential issues in telecom and other datasets.
• Design and deploy scalable AI/ML solutions that address real-world business challenges.
• Collaborate with cross-functional teams, including data engineers, software developers, and domain experts, to integrate ML solutions into production environments.
• Stay up to date with the latest advancements in AI/ML and apply them to enhance model performance.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field from an accredited university, or equivalent work experience.
• Minimum 8 years of relevant work experience.
• Strong experience in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Hands-on experience with RAG systems, transformers, and NLP models.
• Expertise in anomaly detection techniques, including statistical and ML-based approaches.
• Strong background in data preprocessing, feature engineering, and model evaluation.
• Training/Pretraining/Fine-tuning LLMs and ML experience with large datasets.
• Excellent problem-solving and analytical skills.
• Networking technology background.

Preferred Qualifications:

• Advanced degree (MS/PhD) in Computer Science, Data Science, AI/ML, or a related field.
• Familiarity with graph databases and knowledge graphs for information retrieval.
• Contributions to research publications, open-source projects, or AI/ML communities.
• Understanding of AI governance and implementation.
• Telecom industry experience is a plus.