Job Description

Junior Data Scientist

Habitat Energy is a fast growing technology company focussed on the trading and algorithmic optimisation of energy storage and renewable assets around the world. Our mission is to deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future. Our rapidly growing team of 100+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.

We have a vacancy for a Junior Data Scientist to join our US team based in Austin. This role will bridge the gap between commercial insights and technical execution, and battery modeling expertise, supporting the data science team by contributing to both the development and operational stages of our projects. You will help develop and refine models that predict battery performance, degradation, and site-specific optimization parameters while maintaining and optimizing our live battery systems using our DS software stack. This multifaceted position requires both analytical skills to enhance our modeling capabilities and practical know-how to translate these models into commercial value.

Your responsibilities will include:

• Developing and validating battery performance and site-specific predictive models to predict degradation, efficiency, and optimize operations based on local conditions


• Performing both technical and content quality assurance on BESS/DART Optimizer and backtest frameworks


• Conducting ad-hoc analysis and applying data science models to support business decisions


• Operational management of live battery optimization systems, addressing issues promptly and efficiently.


• Collaborating with the commercial team to build and maintain predictive pricing models keeping abreast of new market drivers

‘Must have’ skills and experience :

• Bachelor’s Degree in Physics, Chemistry, Computer Science, Data Science, Engineering, or a related field.


• Strong analytical skills, problem-solving abilities, proficiency in Python.


• Proficiency in Python and familiarity with data science and optimization libraries (cvxpy, pandas/polars, gradient boosted tree libraries, pytorch).


• Deep desire to learn about the energy markets, particularly as it relates to battery technology.


• Strong communication skills, ability to work collaboratively within and across teams

‘Nice to have’ skills and experience:

• Background in renewable energy projects or related fields


• Experience working in CVXPY, Terraform, Airflow


• Proven track record of implementing models in a commercial setting

Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.

In return, we’ll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.

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