Salary Prediction - test | bitgrit
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Salary Prediction - test

bitgirt
1 Participant
5 Submissions
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Brief

Are you ready to put your machine learning skills to the test? The Engineers' Salary Prediction Challenge
is an exciting competition where participants compete to develop the most accurate salary prediction
model for engineers in the United States.

Using a dataset with numerous variables, including job title, job description, required qualifications,
industry, location, and experience level, your goal is to build a machine learning model that predicts
salaries with precision. This challenge will test your ability to clean data, extract meaningful features,
and apply predictive algorithms effectively.

This competition is a fantastic opportunity to enhance your data science skills, experiment with
feature engineering, and compete against top ML talents. Whether you're a beginner or an experienced
practitioner, this is your chance to tackle a real-world salary prediction problem.

Prizes
  • 1st Prize: $1,500
     
  • 2nd Prize: $1,000
     
  • 3rd Prize: $500
Timeline
  • Competition Starts: 15 March 2025
     
  • Competition Ends: 15 June 2025
     
  • Winners Announced (Subject to change based on submission results): 30 June 2025
Data Breakdown

comp_training_set.csv: 1280 wows x 317 columns

comp_test_set.csv: 854 rows x 316 columns

solution_format.csv: sample solution format

 

obs: observation number of the data

job_title: Anonymized job title

job_posted_date: Job posted year and month

salary_category: Salary Category (this is the target variable)

job_state: The state the job is located

feature_1 ~ feature_12: Various independent variables in the job information

job_desc_1 ~ job_desc_300: Vectorized job description

 

 

FAQs
Who do I contact if I need help regarding a competition?
For any inquiries, please contact us at [email protected]
How will I know if I've won?
If you are one of the top three winners for this competition, we will email you with the final result and information about how to claim your reward.
How can I report a bug?
Please shoot us an email at [email protected] with details and a description of the bug you are facing, and if possible, please attach a screenshot of the bug itself.
If I win, how can I receive my reward?
Prizes will be paid by bank transfer. If for some reason you are not able to accept payment by bank transfer, please let us know and we will do our best to accommodate your needs as possible.
Rules
  1. This competition is governed by the following Terms of Participation. Participants must agree to and comply with these Terms to participate.
     
  2. Users can make a maximum number of 5 submissions per day. If users want to submit new files after making 5 submissions in a day, they will have to wait until the following day to do so. Please keep this in mind when uploading a submission.csv file. Any attempt to circumvent stated limits will result in disqualification.
     
  3. The use of external datasets is not allowed.
     
  4. Uploading the competition dataset to other websites is not allowed. Users who do not comply with this rule will be disqualified.
     
  5. A competition prize will be awarded after we have received, successfully executed, and confirmed the validity of both the code and the solution (See 6.). Once winners are announced and our team reaches out to them, the winners must provide the following by July 9, 2023, to be qualified as a competition winner and receive their prize:
     
    1. All source files required to preprocess the data
    2. All source files required to build, train and make predictions with the model using the processed data
    3. A requirements.txt (or equivalent) file indicating all the required libraries and their versions as needed
    4. A ReadMe file containing the following:
      1. Clear and unambiguous instructions on how to reproduce the predictions from start to finish including data pre-processing, feature extraction, model training, and predictions generation
      2. Environment details regarding where the model was developed and trained, including OS, memory (RAM), disk space, CPU/GPU used, and any required environment configurations required to execute the code
      3. Clear answers to the following questions:
        1. Which data files are being used?
        2. How are these files processed?
        3. What is the algorithm used and what are its main hyperparameters?
        4. Any other comments considered relevant to understanding and using the model
           
  6. The submitted solution should be able to generate exactly the same output that gives the corresponding score on the leaderboard. If the score obtained from the code is different from what’s shown on the leaderboard, the new score will be used for the final rankings unless a logical explanation is provided. Please make sure to set the seed or random_state etc. so we can obtain the same result from your code.
     
  7. The final submission has to be selected manually before the end of the competition (you can select up to 2), or else it will be selected automatically based on your highest public score.
     
  8. In order to be eligible for the prize, the competition winner must agree to transfer to the Host the relevant transferee of rights in such Competition all transferable rights, such as copyrights, rights to obtain patents and know-how, etc. in and to all analysis and prediction results, reports, analysis and prediction model, algorithm, source code and documentation for the model reproducibility, etc., and the Submissions contained in the Final Submissions.
     
  9. Any prize awards are subject to verification of eligibility and compliance with these Terms of Participation. All decisions of bitgrit will be final and binding on all matters relating to this Competition.
     
  10. Payments to winners may be subject to local, state, federal and foreign tax reporting and withholding requirements.
     
  11. If two or more participants have the same score on the leaderboard, the participant who submitted the winning file first will be considered the winner.
     
  12. All submissions must be made individually; no teams are allowed in this competition. Users who do not comply with this rule will be immediately disqualified in the case that we find the same or very similar scores and/or uploaded solutions.
     
  13. Any Participant shall delete the Company-Provided Information immediately after the completion of a Competition.
     
  14. If you have any inquiries about this competition, please don’t hesitate to reach out to us at [email protected].
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