4 applied research scientist jobs at 2 companies in Miami, FL

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Applied Scientist- Pricing
Miami, Florida, United States
$157k-$335k/yr OnsiteFull Time
Opendoor
OpendoorNASDAQ: OPEN: Digital marketplace for buying and selling residential real estate.
Experience building quantitative models for decision-making under uncertainty, strong Python coding, advanced quantitative degree preferred, familiarity with causal/structural modeling, optimization, and working with real-world data.
Python, Pyspark
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Applied Scientist AI/ML
Miami, Florida, United States
$157k-$355k/yr OnsiteFull Time
Opendoor
OpendoorNASDAQ: OPEN: Digital marketplace for buying and selling residential real estate.
Advanced degree in CS/statistics/math, strong Python and production ML experience, deep learning (ConvNets/Transformers), statistics, experimental design, and cross-functional communication.
Python, Pyspark, ConvNets, Transformers, LLMs, VLMs
2d
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Principal Machine Learning Scientist
Colorado or Irmo or Alabama or Miami or Georgia or North Carolina or South Carolina or Germantown or Columbia
$118-$126/hr RemoteFull Time
Diesel Laptops
Diesel Laptops: Diagnostic tools and software for commercial truck repair.
7+ YOEMaster’s degree or equivalent advanced experience; 7+ years in applied data science, statistical modeling, machine learning, or quantitative research; advanced Python and SQL; experience with production solutions and large datasets.
Python, SQL, Pandas, NumPy, SciPy, Jupyter Notebooks, dbt, Dagster, Apache Flink, ClickHouse, PostgreSQL, Apache Iceberg, Git, GitHub, Docker, MLflow
2d
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Principal Machine Learning Scientist
Colorado or Irmo or Alabama or Miami or Georgia or North Carolina or South Carolina or Germantown or United States
RemoteFull Time
Diesel Laptops
Diesel Laptops: Provider of diagnostic tools and repair software for commercial vehicles.
7+ YOEMaster’s degree or equivalent advanced experience, 7+ years in applied data science or quantitative research, advanced Python and SQL, statistical modeling, production deployment, and large or time-series datasets.
Python, SQL, Pandas, NumPy, SciPy, Jupyter Notebooks, dbt, Dagster, Apache Flink, ClickHouse, PostgreSQL, Apache Iceberg, Git, GitHub, Docker, MLflow