Job Description
We are seeking a visionary Senior Data Scientist to join our elite team in San Francisco. At Nebula Analytics, we don't just process data; we engineer the future of predictive intelligence.
In this pivotal role, you will be responsible for designing, developing, and deploying scalable machine learning models that solve complex business problems. You will work at the intersection of statistical analysis and engineering, transforming raw data into strategic assets that fuel our growth.
Join us in shaping the future of data-driven decision making.
Responsibilities
- Design and implement end-to-end machine learning pipelines using Python and modern frameworks like TensorFlow and PyTorch.
- Conduct deep-dive exploratory data analysis (EDA) to uncover hidden patterns, trends, and opportunities.
- Collaborate with cross-functional teams (Product, Engineering, Marketing) to define data requirements and model success metrics.
- Optimize and tune existing models to improve accuracy, speed, and scalability in production environments.
- Present complex analytical findings to stakeholders in a clear, actionable format to drive business strategy.
- Stay abreast of the latest advancements in AI, Deep Learning, and Big Data to drive continuous innovation.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science or machine learning roles.
- Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and advanced SQL.
- Strong experience with deep learning frameworks and cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying scalable models to production environments.
- Excellent communication skills with the ability to translate technical concepts for non-technical audiences.