--- title: FeatureByte Data Science Challenge | Rules image: https://resources.featurebyte.ai/hubfs/1-2.png --- [Go Back Up](https://resources.featurebyte.ai/challenge-rules#top) [Skip to Content](https://resources.featurebyte.ai/challenge-rules#body) [![FeatureByte\_Logo\_White](https://resources.featurebyte.ai/hubfs/FeatureByte_Logo_White.svg "FeatureByte_Logo_White")](https://featurebyte.ai) Toggle Menu - [Challenge Home](https://resources.featurebyte.ai) - [Rules](https://resources.featurebyte.ai/challenge-rules) - [Info Session](https://resources.featurebyte.ai/info-session) - [FAQ](https://resources.featurebyte.ai/faq) - [Register Now](https://resources.featurebyte.ai/register) # Challenge Rules [Skip Navigation](https://resources.featurebyte.ai/challenge-rules#main_content-dnd_partial-2-module-1-after-page-nav) - [Participation Eligibility](https://resources.featurebyte.ai/challenge-rules#anchor-1) - [Use Case & Data Provision Requirements](https://resources.featurebyte.ai/challenge-rules#anchor-2) - [Data Access Requirements](https://resources.featurebyte.ai/challenge-rules#anchor-3) - [Evaluation Criteria](https://resources.featurebyte.ai/challenge-rules#anchor-4) - [Evaluation Rules](https://resources.featurebyte.ai/challenge-rules#anchor-5) - [Prizes](https://resources.featurebyte.ai/challenge-rules#anchor-6) Jump to Section Jump to Section Participation Eligibility Use Case & Data Provision Requirements Data Access Requirements Evaluation Criteria Evaluation Rules Prizes Participation Eligibility - Participants must represent a USA-based company with more than 20 employees\*. - The Challenge is open to individuals or teams of up to 6 people. Teams will designate a Team Leader, who will serve as the primary point of contact. - Participants must be able to commit 10-15 hours across 1-2 weeks in February and March 2026 to the Challenge. - Final eligibility shall be determined after application evaluation, at the discretion of the Organizer.   \*Practitioners at companies based outside of the US may also register; we will consider their participation in the Challenge on a case-by-case basis Use Case & Data Provision Requirements - Participants can select any binary supervised machine learning (ML) use case and model on tabular data that has been in production for at least thirty 30 days. - Data tables must reside in one of Databricks, Snowflake, or BigQuery platforms. - Participants must provide access to normalized data related to the use case or a functional equivalent. All data should adhere to general relational database model requirements. - A data dictionary should be provided if available. - Participants are required to provide multiple linkable data tables (at least 4 and up to 20 tables). - Views are acceptable if used to remove Personally Identifiable Information (PII) or for data cleaning. - Acceptable table types include Dimension tables, Slowly Changing Dimension (SCD) tables, Event tables, Time Series tables, and Snapshot tables. - Tables should only include structured data—no data containing images, PDFs, or nested JSON files. - Data tables containing time-based records (SCD, Event, Time Series, Snapshot) must include a time column with a consistent format and a primary key column. - Dimension tables must contain a unique primary key column. - Teams must be available to answer questions on their data to help FeatureByte develop a basic understanding of the data, schema, and relationships. Data Access Requirements - FeatureByte must receive read access to all the tables in the dataset. - Write access must be provided to a dedicated schema in the data platform for storing FeatureByte-generated files and tables. - A service account must be created in the data platform for FeatureByte to read and write data. - Appropriately sized cluster to handle the data volume on which  computations will be performed. Minimum requirements are:  - Snowflake Warehouse: X-Small - Databricks SQL Warehouse: Small - BigQuery: NA Evaluation Criteria - Model evaluation is based on predicted probabilities for the test dataset. - Model performance improvement is considered meaningful if the AUC of the Participant’s model is at least 0.01 higher than the model created using FeatureByte. I.e. **(AUC\_Participant-AUC\_FeatureByte) \> 0.01** Evaluation Rules - Participant's business-production model must have been in production for at least 30 days. - Participant must provide a training observation table containing the target, ideally the same or very similar to the one used for training their model - Participants must provide the partition schema with targets that was used to train and test their model (including test and holdout tables, if a holdout is available) and their model's AUC for the test/holdout data. - At the evaluation stage, participants must submit predicted probabilities generated by their model, as well as target values for the test dataset. - To claim the prize, participants must provide a list of features used in their model and indicate feature importance. - Final determination of prize eligibility will be made by a panel of independent judges. Prizes - Winner (First Place): US$10,000.00 - First Runner-Up (Second Place): US$5,000.00 - Second Runner-Up (Third Place): US$2,500.00 - Days - Hours - Minutes The deadline to register has passed. Please email [challenge@featurebyte.ai](mailto:challenge@featurebyte.ai) with any questions.  Deadline to register January 30, 2026 # Are You Ready? Think your production models can beat the FeatureByte platform? Now’s your chance to prove it — on real data, in real-world conditions, with real rewards. [Join the Challenge](https://resources.featurebyte.ai/register?hsLang=en) [FAQs](https://resources.featurebyte.ai/faq?hsLang=en) [![FeatureByte\_Logo\_White-1](https://resources.featurebyte.ai/hubfs/FeatureByte_Logo_White-1.svg "FeatureByte_Logo_White-1")](https://featurebyte.ai) - [Challenge Rules](https://resources.featurebyte.ai/challenge-rules) - [FAQ](https://resources.featurebyte.ai/faq) - [Terms & Conditions](https://resources.featurebyte.ai/terms-and-conditions) - [Privacy Policy](https://featurebyte.ai/privacy-policy) - [Contact](mailto:challenge@featurebyte.ai) [Register Now](https://resources.featurebyte.ai/register?hsLang=en) ©FeatureByte, Inc. 2025. All rights reserved.