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PLACE

Data Scientist

PLACE

Data Scientist at PLACE, focusing on AI and machine learning solutions in a rapidly growing startup. Collaborating within a small team to enhance data science applications and production deployment.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $135,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies
PyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Analyze data to support or disprove a thesis, letting evidence guide conclusions over confirmation bias
  • Select and implement the right tools for each problem, from gradient boosting models to transformer-based approaches
  • Build, train, test, and validate models — from algorithm selection through hyperparameter tuning and rigorous evaluation
  • Engineer models into production so they run reliably on real infrastructure, serving real customers
  • Document models, testing protocols, and decision rationale for the team
  • Monitor and improve models in production, knowing when to retrain, rebuild, or rethink as data and performance drift
  • Explore agentic and reasoning systems, helping the team separate what's genuinely useful from hype in semi-autonomous, planning AI
  • Other duties as assigned or apparent

Requirements

What you’ll need
  • Bachelor's degree or equivalent experience
  • 3+ years of prior work-related experience, including 3–5+ years of hands-on AI experience (LLMs like GPT, Claude, Qwen, or similar; building and deploying ML/DL models in production)
  • Hands-on experience with PyTorch and/or TensorFlow, scikit-learn, XGBoost, LightGBM, AutoGluon, CatBoost, and experiment tracking (MLflow, Weights & Biases)
  • Experience with model testing frameworks, evaluation, validation, and documentation
  • Familiarity with ML pipelines, feature engineering, and model serving patterns (batch, real-time, streaming)
  • Git and collaborative development practices; working familiarity with Jira, Confluence, Slack, and Jupyter

Benefits

Comp & perks
  • PTO as needed
  • Comprehensive insurance coverage
  • 401(k) match
  • Stock option grants
  • Stock purchase plan