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Baker Engine is a new company building an advanced sports prediction engine.

If you like sports and writing Python, this could be a really fun opportunity for you.

You can read more about the product here: https://docs.bakerengine.com/

This position is for the first employee in addition to the technical founder.

Job Description

• Write Python code that incorporates the rules and tendencies of different major American sports leagues to simulate them down to a play-by-play level.
• Identify areas in the simulation that would benefit from machine learning models.
• Use our existing all-access sports data feeds to build and train ML models in Python to account for that part of the simulation.
• Perform statistical analysis on ML models and fine-tune them using test results.
• Incorporate the ML code into our experiment and model registry system.
• Write Python DAGs to manage data syncing, ETL data processing and ML model training.
• Deploy code to production with our Github Actions that manage AWS deployments.
• Collaborate remotely with the founder on what areas of the system to work on next.
• Share on-call duty of production systems.

Requirements

• Excellent Python developer with attention to detail.
• Well-rounded data generalist with experience with a lot of the Python data ecosystem: Pandas, NumPy, SciPy & Scikit-learn.
• Familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Experience writing automated tests with pytest.
• Experience writing and maintaining DAGs for data pipelines to train and deploy machine learning models.
• Experience with the full data science lifecycle of EDA, feature engineering, model selection, training and validation.
• Experience with both regression and classification models and how to evaluate them.
• Knowledge of statistics fundamentals.
• Experience with AWS and basic systems administration in a cloud environment.
• Experience building REST APIs in Python with Flask or FastAPI.
• Experience with both SQL and NoSQL databases.
• Pragmatic about software architecture.
• Proactive & ambitious.
• Able to work independently with minimal requirements.
• Enjoys responsibility and lots of focused work time with very few Zoom calls.
• Knowledge of the NFL and at least one other major American sport.
• Excellent written and verbal communication skills.
• Optimistic team player.
• Great analytical and problem-solving skills.
• Love working with sports data and predicting the outcome of sporting events.
• Legally authorized to work in the United States of America.
• Able to work fully remotely. We have no office, so there is no risk of relocation or going "back to the office."
• Nice to have: Advanced data science background.
• Nice to have: Detailed knowledge of many popular sports (NFL, NBA, MLB, NHL, NCAAF, NCAAB)

Compensation and Benefits

• Salary range is $130,000 - $150,000 per year.
• Unlimited PTO
• Health, vision and dental insurance
• Paid maternity & paternity leave