Data Scientist (Forward Deployed)
Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.
About the job
Key Responsibilities
- Deploy into production use cases with considerable business impact, moving from "science experiments" to definitive ROI
- Work on rigorous head-to-head benchmarking against client baselines (XGBoost, LightGBM), executing data engineering, feature engineering, and validation
- Collaborate with research and product teams to translate operational pain points and data anomalies into essential inputs for the product roadmap
- Identify the right business problems, prevent data leakage, and handle "last mile" integration (VPC, on-prem, air-gapped)
- Collaborate with Sales and Solution Architect teams to align diverse stakeholders and explain predictions to business users
Requirements
- PhD or Master's in CS, Math, Stats, or equivalent deep statistical literacy
- 2+ years as a technical individual contributor (data scientist or software engineer)
- Experience with containerization (Docker), orchestration, and writing performant APIs (FastAPI/Flask)
- Mastery of the end-to-end pipeline: framing, pre-processing, ML algorithms, and validation strategies
- Deep understanding of data handling (PySpark, Pandas) and memory optimization
- Demonstrated experience optimizing models for specific business problems
- Strong communication skills with ability to translate architectural nuances into clear business value
Nice to Have
- Experience with PyTorch and cloud-native ML pipelines (AWS, GCP, Azure)
- Experience as a Forward Deployed Engineer, Staff Engineer, Machine Learning Engineer, or Staff Data Scientist
- Industry-based subject matter expertise
Benefits
- Competitive compensation with salary and equity
- Comprehensive health coverage (medical, dental, vision, 401K)
- Paid parental leave
- Relocation support
Skills
Pyspark, pandas, Docker, FastAPI, Flask, Xgboost, Lightgbm, PyTorch, AWS, GCP, Azure
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