Job Description
Are you a visionary data pioneer who thrives at the intersection of advanced machine learning and predictive analytics? VirtuAnalytix AI is seeking a Lead Data Scientist to spearhead our next-generation analytics engine in San Francisco. In this role, you will design, deploy, and scale state-of-the-art models that turn complex multi-structured data into high-impact strategic advantages.
We offer a highly collaborative environment where your work directly shapes product strategy. If you are passionate about pushing the boundaries of generative AI, predictive modeling, and scalable data architectures, we want to hear from you.
Responsibilities
- Architect, train, and deploy production-grade machine learning and deep learning models to optimize core product features.
- Lead the integration of LLMs and Generative AI frameworks into our existing analytics pipelines.
- Collaborate with engineering and product teams to translate business hypotheses into actionable mathematical formulations.
- Design rigorous A/B testing frameworks to validate model performance and business impact at scale.
- Establish best practices for feature engineering, data pipelines, and MLOps workflows.
- Mentor junior and mid-level data scientists, fostering a culture of technical excellence.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a highly quantitative field.
- 5+ years of professional experience deploying machine learning models in production environments.
- Expertise in Python and core ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, Pandas).
- Strong proficiency in SQL and cloud data warehouses like Snowflake or BigQuery.
- Proven track record of working with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.