Job Description
Shape the Digital Landscape of Tomorrow.
Nexus Horizon Labs is at the forefront of the 2026 technology revolution. We are seeking a visionary Senior Synthetic Data Architect to lead our mission in creating high-fidelity, privacy-preserving data environments for next-generation AI models. If you are passionate about the intersection of data science, AI ethics, and futuristic infrastructure, this is your opportunity to define the standard for 2026.
Why Join Us?
We offer a competitive compensation package, equity packages, and the chance to work on projects that will define the next decade of technological advancement.
Responsibilities
- Architect Advanced Data Pipelines: Design and implement scalable, fault-tolerant pipelines for generating synthetic data that mirrors real-world complexity.
- AI Ethics & Governance: Establish frameworks to ensure synthetic datasets are unbiased, representative, and compliant with emerging global regulations for 2026.
- Collaborate with Quantum Teams: Partner with quantum computing researchers to develop data strategies that optimize for quantum-ready algorithms.
- Model Validation: Rigorously test and validate synthetic data against ground truth to ensure high fidelity and statistical accuracy.
- Optimization Strategy: Continuously refine generation models to reduce computational costs while increasing data utility.
- Technical Leadership: Mentor junior data scientists and conduct code reviews to maintain the highest technical standards across the team.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, or a related technical field.
- Experience: 5+ years of experience in data engineering, machine learning, or synthetic data generation.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with libraries like SDV (Synthetic Data Vault) or Gretel.ai is highly preferred.
- Quantum Awareness: Understanding of quantum computing basics and how data structures differ in quantum environments.
- Problem Solving: Demonstrated ability to solve complex statistical problems and optimize large-scale systems.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.