Remote Data Scientist

Description:

• Tyba is a modeling platform for energy companies focused on renewable energy infrastructure.
• The company aims to make advanced models accessible to cross-functional teams to enhance profitability in renewable energy operations.
• The Data Scientist will work on modeling initiatives for the battery auto-bidding platform.
• Candidates should be passionate about clean energy and eager to learn about wholesale power market operations.
• The role involves contributing to a product that synthesizes price forecasts and bid optimization algorithms for customer returns.
• Responsibilities include feature development, model benchmarking, and performance improvement of machine learning algorithms and data pipelines.

Requirements:

• A passion for clean energy and a strong willingness to learn about power market fundamentals is essential.
• Experience in time series forecasting and/or probabilistic model calibration, ideally demonstrated through concrete projects, is required.
• Proficiency in Python and its package ecosystem (Pandas, PyTorch, plotting libraries) as well as SQL is necessary.
• Candidates must be comfortable working in Git.
• The ability to work cross-functionally on an interdisciplinary team is important.
• Experience with energy data, optimization, and data infrastructure is a plus.
• Experience working on machine learning systems in production is also a plus.

Benefits:

• The salary for this position ranges from $150k to $220k.
• Benefits include parental leave, medical benefits, unlimited PTO, and access to a bakery below the HQ.
• Employees have the opportunity to own a stake in the company through an employee stock option plan.
• The work environment is flexible, offering a hybrid work model, remote work options, and team offsites.