Job Description
Nexus AI Systems is seeking a visionary Senior Data Scientist to join our elite core engineering team in San Francisco. We are solving complex logistical challenges using cutting-edge machine learning and predictive modeling. If you are passionate about transforming raw data into actionable enterprise-grade intelligence, this is your opportunity to shape the future of our platform.
We offer a collaborative, remote-friendly environment, top-tier benefits, and a culture that prioritizes technical innovation and rapid experimentation.
Responsibilities
- Design and deploy sophisticated machine learning models to solve high-impact business problems.
- Lead end-to-end data pipelines, from raw ingestion to model training and deployment.
- Collaborate with cross-functional product teams to define key performance indicators and metrics.
- Conduct deep-dive exploratory data analysis to uncover hidden operational efficiencies.
- Mentor junior data scientists and contribute to internal technical architecture standards.
- Develop scalable automated testing frameworks for model productionization.
- Present data-driven insights to executive stakeholders to inform strategic decision-making.
Qualifications
- Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or statistical analysis.
- Advanced proficiency in Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-Learn).
- Deep experience with deep learning frameworks such as TensorFlow or PyTorch.
- Proven track record of deploying models into production environments (AWS, GCP, or Azure).
- Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.
- Experience with Big Data tools like Spark, Hive, or Kafka is highly preferred.