Job Description
Are you ready to architect the future of intelligent systems? Nexus AI Systems is seeking a visionary Senior Data Scientist to lead our machine learning initiatives. You will work at the intersection of complex data architecture and predictive modeling, transforming raw insights into strategic business advantages.
We offer a collaborative, remote-friendly environment where innovation is the standard, not the exception. Join a team of world-class engineers solving real-world problems at scale.
Responsibilities
- Design, develop, and deploy scalable machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to identify and translate business requirements into actionable data strategies.
- Perform deep-dive exploratory data analysis to uncover hidden patterns and opportunities.
- Mentor junior team members and foster a culture of technical excellence and peer review.
- Optimize existing data pipelines to improve latency and model performance.
- Present data-driven insights to executive stakeholders to influence company-wide product strategy.
- Stay at the forefront of AI/ML research to implement state-of-the-art algorithms within our stack.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Data Science or Machine Learning engineering.
- Expertise in Python or R, with deep proficiency in libraries such as PyTorch, TensorFlow, or Scikit-Learn.
- Proven ability to architect and maintain production-grade data pipelines using SQL and BigQuery/Snowflake.
- Strong background in statistical modeling, hypothesis testing, and experimental design.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical partners.