clients Baker Engine

Remote Senior Python Engineer - Data Engineering & Data Science Generalist


United States

Job Type






Skill Set


All Other Remote

Job Details

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