Job Description
Are you ready to shape the future of machine learning? Nexus AI is seeking a visionary Senior Data Scientist to join our elite core engineering team. You will work at the intersection of deep learning and predictive analytics to solve complex, real-world problems for global enterprises. We offer a high-impact, collaborative environment where your models directly influence product strategy and customer experience.
We prioritize innovation, technical excellence, and a data-driven culture. If you are passionate about scalable AI and pushing the boundaries of what is possible, we want to hear from you.
Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines to solve critical business challenges.
- Collaborate with cross-functional product and engineering teams to identify high-value data opportunities.
- Build and optimize statistical models, including regression, clustering, and neural network architectures.
- Perform advanced exploratory data analysis to uncover hidden patterns and actionable business insights.
- Mentor junior data scientists and promote best practices in code quality and model experimentation.
- Communicate findings and technical roadmaps to senior stakeholders through compelling data storytelling.
- Stay at the forefront of AI research and integrate cutting-edge algorithms into our proprietary platform.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Strong knowledge of SQL, NoSQL databases, and large-scale data processing tools like Spark.
- Proven track record of deploying models into production environments (CI/CD, Docker, Kubernetes).
- Deep understanding of statistical inference, optimization techniques, and feature engineering.
- Excellent communication skills with the ability to bridge the gap between complex mathematics and business strategy.