data scientists hero

Data Scientists

Automating data quality, feature engineering, model building, and deployment process to enhance data scientists.

Benefits to Data Scientists

Building, tuning and deploying models has never been this easy.

DataRobot gives you access to hundreds of the latest machine learning algorithms, with full transparency and control over the model building and deployment process. Tap into the best practices of Kaggle-ranked data scientists to automate the data pre-processing, feature engineering, and parallel model building process. Then, use your data science knowledge and domain expertise to find the best solution for your project and put it into production with just a few lines of code.

Providing Business Value
DataRobot has been designed to help data scientists wring value from every project. With an emphasis on supporting techniques like supervised machine learning and transfer learning, the platform also includes features that ensure business value like profit curves, prediction explanations, and one-click deployment with governance. All of this is integrated with automation to ensure your time is spent providing business value.
Designed for Enterprise Data Scientists
DataRobot carefully curates and validates algorithms from R, Python, Spark, TensorFlow, and other sources. We spend thousands of hours analyzing what Kaggle techniques hold up. Then, our machine learning engineers incorporate these techniques, while ensuring they run quickly, scale to large datasets and catch edge cases like missing values and new levels. Finally, we continually run thousands of automated tests to ensure our models are reliable.
Simplify Model Deployment
DataRobot starts by letting you select which model you want to deploy from hundreds of possibilities. With the powerful DataRobot API, you can immediately put any model into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop. Update your models with no downtime and easily build continual learning pipelines.
Solving the Hardest Data Science Problems
Whether you are trying to forecast sales for a million products or working with extremely wide genomic data, DataRobot is capable of solving the hardest data science problems. Using our API, data scientists will often build hundreds or thousands of models to solve problems, all of which is easily done with our R and Python clients designed for data scientists.
  • Providing Business Value
    DataRobot has been designed to help data scientists wring value from every project. With an emphasis on supporting techniques like supervised machine learning and transfer learning, the platform also includes features that ensure business value like profit curves, prediction explanations, and one-click deployment with governance. All of this is integrated with automation to ensure your time is spent providing business value.
  • Designed for Enterprise Data Scientists
    DataRobot carefully curates and validates algorithms from R, Python, Spark, TensorFlow, and other sources. We spend thousands of hours analyzing what Kaggle techniques hold up. Then, our machine learning engineers incorporate these techniques, while ensuring they run quickly, scale to large datasets and catch edge cases like missing values and new levels. Finally, we continually run thousands of automated tests to ensure our models are reliable.
  • Simplify Model Deployment
    DataRobot starts by letting you select which model you want to deploy from hundreds of possibilities. With the powerful DataRobot API, you can immediately put any model into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop. Update your models with no downtime and easily build continual learning pipelines.
  • Solving the Hardest Data Science Problems
    Whether you are trying to forecast sales for a million products or working with extremely wide genomic data, DataRobot is capable of solving the hardest data science problems. Using our API, data scientists will often build hundreds or thousands of models to solve problems, all of which is easily done with our R and Python clients designed for data scientists.
  • Automation frees up time, and makes it possible to do the creative work that leads to great products.
    0 6
    DJ Patil

    Building Data Science Teams, by DJ Patil, Former U.S. Chief Data Scientist

  • DataRobot does something different from other tools. It offers a high-quality auto-modeling tool that creates amazing models with fine-tuned adjustments in a matter of minutes.
    0 7
    Andrew Greenhut

    Senior Data Scientist, LogMeIn

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

    Automated machine learning improves the lives of data scientists

    Automated machine learning makes data scientists not only more efficient, but also more effective, leading to massive gains in productivity. Watch this webinar to learn how to avoid building bad models.
    Watch the webinar
    Take your data science skills and education to the next level, with DataRobot University. Enroll in one of our programs for data scientists and see how automated machine learning can make you more efficient and more effective at your work.
    DataRobot University - Data Scientists Program

    Related resources

    Discover the power of automated machine learning.