Data Scientist

🕒 July 27

🇺🇸 United States – Remote

💵 $135k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PLACE

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

PLACE is an all-in-one real estate services and technology platform designed for top teams in any brokerage. It simplifies the process of running a profitable real estate business by providing tools for team owners and agents to grow their teams, boost productivity, retain talent, and improve operations. With over 275 locations across the US and Canada, PLACE also connects clients with top agents to facilitate home buying and selling, enhancing the overall experience with advanced technology and business services.

📋 Description

• Analyze data to support or disprove theses, using evidence to guide conclusions • Select and implement appropriate tools, from gradient boosting models to transformer-based approaches • Build, train, test, and validate models through algorithm selection, hyperparameter tuning, and rigorous evaluation • Engineer models into production infrastructure serving customers • Document models, testing protocols, and decision rationale • Monitor and improve production models, including retraining, rebuilding, or redesigning as data and performance drift • Explore agentic and reasoning systems and evaluate their practical utility • Collaborate with the Manager, Data Science, and the broader agile team • Perform other duties as assigned or apparent

🎯 Requirements

• Bachelor's degree or equivalent experience • 3+ years of prior work-related experience, including 3–5+ years of hands-on AI experience • Hands-on experience with LLMs such as GPT, Claude, Qwen, or similar • Experience 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 tools such as MLflow or Weights & Biases • Experience with model testing frameworks, evaluation, validation, and documentation • Familiarity with ML pipelines, feature engineering, and model serving patterns • Git and collaborative development practices • Working familiarity with Jira, Confluence, Slack, and Jupyter • Strong foundation in linear algebra, calculus, probability, and statistical inference • Experience with supervised and unsupervised learning, deep learning, and reinforcement learning • Experience with AWS services, Docker, and infrastructure-as-code • Experience deploying and maintaining production models

🏖️ Benefits

• PTO as needed • Comprehensive insurance coverage • 401(k) match • Stock option grants • Stock purchase plan • Flexible work approach: at home, in an office, or on the move