Senior Data Scientist + Machine Learning Engineer
New
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Neo.TaxFinTech / Tax Tech
We are a remote company, but we prefer to hire in time zones that can overlap with our HQ in San Francisco, CA!, Pacific Time ZoneFull-TimeSenior
Salary$190K - $210K
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLMachine LearningNumpyPyTorchPandasTensorflowscikit-learn
Requirements
- MS/PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
- 6+ years of industry experience as a Data Scientist, Applied Scientist, or ML Engineer shipping ML to production.
- Strong proficiency in Python and the modern data/ML ecosystem (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow).
- Strong understanding of statistical modeling, experimentation, and evaluation (metrics, A/B testing, bias/variance, error analysis).
- Experience building data pipelines and working with SQL and relational databases.
- Experience deploying and maintaining production models, including ownership of reliability, latency, and cost.
- Experience with LLM evaluation, synthetic data generation, RAG, or tool-augmented agents.
- Ability to operate with high ownership in ambiguous environments.
- Strong communication and collaboration skills.
Responsibilities
- Define success metrics, create baselines, and drive projects from prototype to production.
- Build and improve models spanning classification, information extraction, entity resolution, and anomaly detection.
- Design and evaluate prompt, retrieval, and tool-calling pipelines.
- Define datasets, labeling strategies, and data quality checks.
- Design offline evaluations and online experiments, and build monitoring for model performance.
- Build and operate training/inference pipelines, model serving, and feature pipelines.
- Collaborate with engineering to ensure scalability, reliability, and cost-effectiveness of ML systems.
- Work with product and customer-facing teams to translate business requirements into technical deliverables.
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