Job Description
Are you ready to redefine the future of machine learning? Nexus AI Systems is seeking a visionary Senior Data Scientist to join our elite engineering team. We bridge the gap between complex raw data and actionable intelligence, building scalable models that drive global impact. You will work at the intersection of high-scale cloud infrastructure and cutting-edge predictive analytics in our downtown San Francisco hub.
We value intellectual curiosity, rigorous engineering standards, and the ability to articulate technical complexity to non-technical stakeholders.
Responsibilities
- Develop and deploy advanced machine learning models to solve complex business challenges.
- Collaborate with cross-functional teams to integrate predictive insights into production environments.
- Conduct deep-dive exploratory data analysis to identify patterns, trends, and growth opportunities.
- Mentor junior data scientists and contribute to elevating team engineering standards.
- Design robust evaluation frameworks to measure model performance and bias.
- Optimize existing pipelines for increased speed, accuracy, and efficiency.
- Present research findings and strategic recommendations to executive leadership.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or statistical modeling.
- Proficiency in Python or R with strong expertise in libraries such as PyTorch, TensorFlow, or Scikit-Learn.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of SQL and large-scale data processing tools like Spark or BigQuery.
- Proven track record of shipping production-ready machine learning applications.
- Strong communication skills with the ability to translate technical insights into business strategies.