Remote Senior Python Engineer – Data Engineering & Data Science Generalist

  • Full Time
  • USA

Website Baker Engine

Time zones: EST (UTC -5), CST (UTC -6), MST (UTC -7), PST (UTC -8)

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:

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.

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

To apply for this job please visit