Note: The job is a remote job and is open to candidates in USA. Scion Staffing is a national staffing firm conducting a search for an innovative, rapidly growing technology company that develops AI-powered products for turning complex information into business insights. The Senior AI Data Scientist will build and productionize machine learning and AI capabilities, develop scalable data pipelines and predictive models, and own AI products from inception through production. The role also involves evaluation and benchmarking, RAG and LLM development, experimentation, and cross-functional collaboration.
Responsibilities
- Evaluate and productionize AI and machine learning systems, initially focusing on model evaluation, routing approaches, offline benchmarking, and production fine-tuning
- Own ML and AI products from inception through production, ensuring they are scalable, maintainable, and valuable to real users
- Build scalable data and machine learning pipelines using Python and SQL to transform large, complex datasets into structured, modeling-ready information
- Develop predictive and custom machine learning models using statistical, causal inference, Bayesian, and other practical algorithmic approaches
- Build AI capabilities using retrieval-augmented generation (RAG), vector databases, embedding models, large language models, and agent orchestration
- Design and interpret A/B tests, offline evaluations, and ML benchmarks while clearly communicating hypotheses, technical decisions, results, and tradeoffs
Skills
- At least 5 years of experience in data science, applied machine learning, or quantitative research, or at least 3 years of relevant experience with a PhD
- Bachelor's degree required in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field
- Advanced proficiency in Python and SQL, including experience building scalable data and ML pipelines and working with large, complex datasets
- Demonstrated experience taking an ML or AI product from initial concept through production, with real users relying on the resulting system
- Hands-on experience with model evaluation, routing, production fine-tuning, A/B testing, offline evaluations, and ML benchmarking
- Experience with RAG, vector databases, embeddings, LLMs, and agent orchestration, along with knowledge of statistics, causal inference, predictive modeling, and Bayesian techniques
- Ability to explain technical decisions clearly, and thrive in an entrepreneurial environment
Benefits
- Starter equity package valued by the employer at over $70,000 following the first three months of employment.
- Remote work aligned with Eastern Time.
- Meaningful ownership of production AI and machine learning products used by real customers.
- Opportunities to expand your responsibilities based on demonstrated impact and participate in company gatherings and international offsites.
- 100% employer paid medical, dental, and vision options for the employee and their dependents.
- FSA / HSA options.
- 401(k) with a 100% company match on the first 6% contributed.
- Paid PTO, sick, and holiday leave.
Company Overview