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# Senior, AI & Data Science

- **Company:** Artefact
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cursor, Python (Programming Language), Machine Learning, Regression Testing, OpenAI, SQL Databases, Computational Statistics, Google Cloud, Cloud Platform System, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Claude Code, AI Platforms, Scikit Learn, Information Technology, HuggingFace, Xgboost, Machine Learning Operations, Claude, Evaluation of Large Language Models, Google Gemini, Software Version Control, Data Pipelines
- **Published:** October 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pple0bc8k4

## About the Role

* 3-5 years of relevant data science experience with a substantial quantitative skill set.
 * Strong knowledge of statistics and ML algorithms, with at least one proven experience developing and deploying models.
 * Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
 * Hands-on experience with LLMs: evaluation, RAG, or fine-tuning experiments (professional or substantial personal projects).
 * Specialization in at least one major AI platform ecosystem - Google (Gemini, Vertex AI), Anthropic (Claude), or OpenAI - and familiarity with a cloud platform (GCP, Azure, or AWS).
 * Comfort with AI-assisted development tools such as Claude Code, Gemini CLI, or Cursor.
 * Excellent interpersonal and communication skills: you can present methodology and results to non-technical audiences.
 * Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field, or equivalent experience.

Preferred

 * Causal inference, time series, or advanced statistics experience.
 * Hugging Face Transformers, LoRA/PEFT, or open-weight model experience.
 * MLOps exposure: model versioning, pipelines, monitoring.
 * Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.

## Description

Artefact is looking for a Senior AI & Data Scientist: a scientist who owns models end to end, from problem framing through production.

You will work across the full modeling spectrum - forecasting, classification, clustering, and causal analysis on one engagement; fine-tuning experiments and LLM evaluation on the next. You will own your models: the data behind them, the methodology, the deployment, and the story told to the client. You will also help junior scientists grow.

 * Translate business and marketing challenges into analytical use cases with clear hypotheses and success metrics.
 * Develop statistical and machine learning models: regression, forecasting, classification, clustering, and causal inference.
 * Select techniques based on business context, constraints, and data availability - and be able to justify the choice.
 * Ship production-ready solutions: training, deployment, monitoring, and ongoing refinement.
 * Run fine-tuning experiments: dataset curation, SFT, LoRA/PEFT, and rigorous evaluation of results against baselines.
 * Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests.
 * Work with embeddings and retrieval where they affect answer quality.
 * Contribute to model selection decisions: prompting vs. RAG vs. fine-tuning, cost vs. quality vs. latency.
 * Build data pipelines for ingestion, transformation, and quality assurance across diverse data sources.
 * Create clear visualizations and dashboards that support data storytelling and decision making.
 * Present findings to client stakeholders, translating methodology into business language.
 * Mentor junior data scientists and use AI-assisted tools (Claude Code, Gemini CLI) to raise the whole team's pace.