Hey there, future Data Scientist at Enlitia! Ready to power up our innovative projects in the renewable energy sector? As a key player in our team, you'll be at the forefront of developing algorithms, monitoring performance, optimizing processes, and conducting insightful data analysis. Your role will involve collaborating closely with cross-functional teams to understand project requirements and effectively communicating results to both technical and non-technical stakeholders. If you're a highly organized and motivated professional with a passion for sustainability, we're eager to hear from you!
Key Responsibilities
Data Analysis and Modelling:
* Dive deep into large and complex datasets to uncover patterns, trends, and golden nuggets of insight.
* Craft and deploy statistical models and machine learning algorithms that crack business problems wide open.
* Conduct hypothesis testing and A/B experiments to validate your findings like a master.
Data Management:
* Extract, clean, and preprocess data from a variety of sources, ensuring top-notch data quality and consistency.
* Build and maintain datasets and data pipelines that are as smooth as a well-oiled machine.
* Team up with data engineers to optimize data storage and retrieval processes for peak efficiency.
Business Collaboration:
* Partner with stakeholders to grasp business objectives and data requirements with laser-like precision.
* Turn complex analytical findings into actionable business recommendations that hit the mark.
* Present insights and results to non-technical audiences with visualizations and reports that make the data dance.
Tool and Technology Utilization:
* Harness the power of statistical and machine learning tools (e.g., R, Python, SAS) to analyze data like a wizard.
* Use data visualization tools (e.g., Grafana, Matplotlib, notebooks) to communicate your findings with flair.
* Tap into big data technologies (e.g., Hadoop, Spark) for large-scale data processing that packs a punch.
* Stay on the cutting edge of data science, machine learning, and related fields to keep your skills razor-sharp.
* Experiment with new tools, techniques, and methodologies to keep pushing the envelope of data science capabilities.
Requirements
* Hold a BSc, MSc, or PhD in Computer Science, Electronic Engineering, Biomedical Engineering, Statistics, Mathematics, or Physics.
* 4+ years of experience in data science or a related field.
* Proven experience with statistical analysis and machine learning, ideally with tabular and time-series data.
* Proficiency in programming languages, mainly Python and SQL. Knowledge about OOP, Unix and Git is a plus.
* Familiarity with data visualization and dashboarding tools (e.g., Grafana, PowerBI).
* Knowledge of concepts and techniques in NLP (Natural Language Processing) is a plus.
* Understanding of big data frameworks and tools (e.g., Hadoop, Spark) is a plus.
* Excellent problem-solving and analytical skills.
* Strong communication and presentation abilities.
* Ability to work collaboratively in a team environment.
* Attention to detail and a commitment to data quality.
Benefits and More
* Extra vacation days.
* Healthcare insurance.
* Meal tickets.
* Office options in Lisbon and Porto.
* Learning allowance.
About us
At Enlitia, we're not just another startup; we're crafting the future of renewable energy with our top-notch algorithms and boundless enthusiasm. Join us in driving innovation and making sustainability more than just a buzzword.
Ready to enlighten the future?
Join us at Enlitia where tech meets sustainability, and every line of code makes a difference. Apply now and let's create a future we can all be proud of.
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