Company Description
At Streem, we are building the next generation SaaS platform to empower the commercial management of renewable energy assets. Our mission is to accelerate the energy transition by enabling asset managers, investors, and operators to extract more value from their renewable portfolios.
Job Description
Streem Energy is a fast-growing
SaaS startup
helping renewable energy asset managers optimize the performance and profitability of their
wind and solar portfolios
.
We are looking for a
Data Scientist (0–5 years experience)
to develop, deploy, and maintain our core data and modeling capabilities. You will work on
wind and solar production forecasting
,
revenue forecast anomaly detection
, and
pricing models
, which are central to our product and value proposition.
You will collaborate closely with the
CTO
, while remaining
highly autonomous
and owning topics end-to-end, from data ingestion to model deployment and monitoring. The role includes a strong
product dimension
, requiring close interaction with product and business stakeholders to translate real-world needs into robust data-driven solutions.
You will also play a key role in
client interactions
, explaining model behavior, analyzing results, and building trust in our forecasts and analytics.
Qualifications
We are looking for a
highly selective profile
with the following background and skills:
Graduate from a top-tier engineering school or holder of a renowned Master’s degree in Machine Learning, Data Science, or Applied Mathematics
0–5 years of experience as a Data Scientist, Applied Scientist, or similar role
Strong expertise in machine learning, statistics, and time series modeling
Solid data engineering skills: data pipelines, data quality, production monitoring, and scalable model deployment
Proficiency in Python and modern data science ecosystems
Ability to work independently, take ownership, and operate in a fast-paced startup environment
Strong analytical mindset and attention to detail
Excellent communication skills, with the ability to explain complex results to clients and non-technical stakeholders
Strong interest in renewable energy, energy markets, or climate tech
A strong plus:
Knowledge of meteorological models and weather data
Experience with wind and solar forecasting
Familiarity with generative models or advanced ML techniques
Experience with pricing models or revenue forecasting
Previous experience in a SaaS or deep-tech startup