Hľadáme ľudí, ktorí sa chcú učiť nové veci a sú dostatočne odvážni na to, aby vniesli svoje nápady a energiu do našej snahy o dekarbonizáciu energetiky. Hľadáme inovatívne nápady pre naše riešenia v energetike, ktorými sú hlavne inteligentné riadenie virtuálnych elektrární a energetické trhy budúcnosti.
Vaša práca bude ovplyvňovať riadenie rôznych typov energetických zdrojov, ako napríklad solárne farmy, malé vodné elektrárne či batériové úložiská, s cieľom dosiahnuť efektívne, udržateľné a ekologické riešenie v prostredí energetického trhu.
Výhody spolupráce s nami:
-
Zmysluplná práca s vplyvom na zlepšovanie životného prostredia
-
Možnosť pracovať na diaľku alebo v našej kancelárii v centre mesta
-
Kancelária s výhľadom na mesto, stolný futbal, kávovar s výberovou kávou
-
Autonómia pri výkone práce
-
Kvalifikovaní a motivovaní kolegovia - pozrite si náš tím tu
-
Možnosť podieľať sa na výskumných projektoch
-
Pravidelné firemné akcie (nie sú povinné)
-
Možnosť cestovať do Afriky (Rwanda, Keňa, Tanzánia, Juhoafrická republika), USA, rôznych štátov Európy.
Ako sa prihlásiť
Pošlite svoju žiadosť a životopis na adresu career@powerex.io
Otvorené pozície:
Data Scientist
Scope of work (ideas that we would like to elaborate):
-
Own research about the state-of-the-art time series forecasting methods. Automation of feature selection/hyperparameter tuning and other Data-Science tasks.
-
Research of rules and opportunities in the new energy markets, where PowereX is rolling out. Analysis of consequent new electricity trading products/regulations, and design and deployment of appropriate trading/prediction algorithms.
We’re looking for someone who has experience with:
-
R / Python
-
Strong knowledge of Machine Learning frameworks (Keras/TensorFlow/PyTorch/GBMs)
-
Developing/Deploying of forecasting/regression/classification models
-
Critical thinking, strong problem solving skills and time management, eager to learn new things, we actively support open discussion about your own ideas.
Nice to have:
-
Computer science/mathematical/statistical education of 2nd or 3rd grade
-
Software development experience, clean code, KISS, DRY and other best-practice approaches
Data-scientists tech stack:
-
We develop our ML models in R language and frameworks Keras, TF,
xgboost, ligthGBM, and many others. -
Create production ready APIs with plumber and as R packages.
-
We do apps and dashboards with Shiny and bs4Dash.
General backend stack:
-
Backend is based mostly on - Java 18, SpringBoot, Gradle, Python 3.12, Docker.
-
Monitoring of products/apps with Grafana, ELK stack, Prometheus, cloud watch.
-
We host on AWS using these tech - EC2, S3, MSK, Glue, ECS, Lambda, ECR, ...
-
We automatize our infrastructure using - Ansible, Terraform, Github actions.
-
We test and review our code.
Business Development Manager / Head of Business Development Department
Given the growing number of opportunities on the energy markets across Europe we require following from the potential candidate:
-
Strong motivation to work in the dynamic environment with international exposure, steady growth and high frequency of change/development
-
Passion for Energy and green energy transformation
-
Strong communication skills to be able to communicate with existing customers
-
Strong communication skills to be able to onboard new clients
-
Participation on business development initiatives and communication with new customers / leads
-
Communication with contractors/suppliers, their coordination and supervision
-
Involvement in creation of high value offers and price quotations, marketing materials
-
Representing the company at conferences, meetings, and workshops
-
Managing a small team, coordinating tasks with the software development team
-
Motivation to learn and understand new areas, business models, ability to combine and synergize knowledge to new value propositions (creativity)
-
Technical and data literacy (we don't just deal with things in MS office)
-
Leadership skills
-
Fluent in English
-
Good vibes ;)
What can be of advantage, but does not necessarily present an disadvantage:
-
energy sector exposure, engineering experience/education in the energy