About Us
At Principal33, we strive to make happiness at work a reality. It's not just about the money; it's also about creating a great work environment and showing appreciation for our employees.
We believe in allowing our team members to innovate and do what they are truly passionate about. Based on this conviction, our strategy is aligned with our vision: to become a leading IT service company and achieve a better work-life balance.
Our Vision
With around 200 employees from diverse countries, we are actively shaping the future of work.
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Your Responsibilities
The Data Scientist is responsible for developing and implementing data-driven solutions, building predictive models, and deriving actionable insights from diverse data sets to support business decisions and strategic initiatives.
Key Responsibilities:
* Develop and implement predictive models, machine learning algorithms, and statistical analyses to address business challenges and opportunities.
* Perform data exploration, cleaning, and preprocessing to prepare data for analysis and modeling.
* Translate data analysis into clear, actionable business insights and present findings to stakeholders.
* Work closely with data engineers, business analysts, and product managers to understand data needs and deliver effective data science solutions.
* Stay current with advancements in data science, machine learning, and AI, and integrate new techniques and tools into data science practices.
* Contribute to team knowledge sharing, code reviews, and collaborative projects.
* Measure the quality and accuracy of predictive models using key performance indicators (KPIs) such as precision, recall, F1 score, and AUC-ROC.
* Quantify the impact of data science projects on business outcomes, such as revenue growth, cost reduction, or process optimization.
* Gather feedback from business stakeholders regarding the usability and effectiveness of data science solutions.
* Implement new data science techniques, tools, or methodologies to enhance analytics capabilities.
* Contribute to team projects and collaborative efforts with high-quality results.
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Experience and Skills
We are looking for individuals with the following skills and experience:
Requirements:
* Good knowledge of Math and Statistics
* Good knowledge of Machine Learning algorithms
* Good knowledge of Big-Data technologies
* Good knowledge of AI new trends (e.g., LLM)
* Experience developing software with Python / R
* Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
* Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SciPy)
* Proven track record in building and deploying predictive models and machine learning algorithms
* Background in statistical analysis, hypothesis testing, and A / B testing
* Experience working in agile scrum teams
* Ability to manage multiple priorities
* Ability to find creative solutions for business and technical challenges
* Strong research skills, problem-solving, and analytical ability
* Enhanced presentation, negotiation, and communication skills – both written & oral
* Ability to develop strong business relationships across all levels of the business
* Able to quickly understand customer requirements, accurately interpret underlying needs, and change drivers
* Fluent in speaking and writing in English (must)
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What We Offer
We offer a range of benefits and perks to our employees:
Way of Working:
We offer 100% remote work flexibility.
If you prefer to work hybrid, you can join us at our beautiful office in Valencia.
* Flexible compensation
* Private medical insurance
* Day off on your birthday
* Gifts for special occasions
* International and multicultural environment
* A free week-long accommodation annually at our corporate apartment close to Valencia, Spain (subject to availability)
Events:
We organize regular events, including our summer party.
Self-Development:
We provide continuous training to help you improve your technical skills, evolve in the tech community, and develop as a professional.
You may have the opportunity to attend and participate in local and international tech events.