Job Description
Join the Future of Intelligence at QuantumCore AI
We are seeking a visionary Lead Data Scientist to spearhead our advanced AI research initiatives. As a key player in our R&D division, you will bridge the gap between complex mathematical models and scalable production software. You will work with a world-class team to develop cutting-edge algorithms that power our next-generation predictive analytics platform.
Why Join Us?
- Competitive equity and salary package.
- Flexible remote-first policy with a San Francisco hub.
- Access to state-of-the-art hardware and cloud infrastructure.
If you are passionate about solving hard problems and want to have a tangible impact on the industry, we want to hear from you.
Responsibilities
- Design, develop, and deploy state-of-the-art machine learning models, including deep learning and NLP architectures.
- Lead the end-to-end data science lifecycle, from data acquisition and cleaning to model training, validation, and production deployment.
- Collaborate with cross-functional teams of engineers, product managers, and domain experts to define technical requirements and business solutions.
- Perform rigorous statistical analysis and A/B testing to validate model performance and drive product optimization.
- Mentor junior data scientists and engineers, fostering a culture of technical excellence and continuous learning.
- Stay abreast of the latest research in the field and implement innovative techniques to improve system efficiency.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or AI engineering.
- Strong proficiency in programming languages such as Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
- Proven experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of statistical modeling, data mining, and feature engineering techniques.
- Excellent communication skills with the ability to translate complex technical concepts into actionable business insights.