Data Analyst & Backend Developer with AI
The Digital Business Team develops promising digital solutions for global products and processes. It aims to organize Applus+ Laboratories' information, making it useful, fast, and reliable for both the Applus+ Group and its clients. The team’s mission is to be recognized as the most digital, innovative, and customer-oriented company, reducing digital operations costs while increasing the value and portfolio of services.
We are looking for a Data Science / AI Engineer to join our Digital team and contribute to the development of evolving data products and applications.
Responsibilities:
- Collect, organize, and analyze structured and unstructured data to extract actionable insights, generate code, train models, validate results, and draw meaningful conclusions.
- Demonstrate advanced proficiency in Power BI, including data modeling, DAX, the creation of interactive dashboards, and connecting to diverse data sources.
- Possess a strong mathematical and statistical foundation, with experience in numerical methods and a wide range of machine learning algorithms.
- Exhibit hands-on experience in Natural Language Processing (NLP) and foundation models, with a thorough understanding of transformers, tokenization, and encoding-decoding processes.
- Apply Explainable AI (XAI) techniques using Python libraries such as SHAP, LIME, or similar tools.
- Develop and integrate AI models into backend systems utilizing frameworks such as FastAPI, Flask, or Django.
- Demonstrate logical and organized thinking with attention to detail, capable of identifying data or code anomalies and effectively communicating findings through clear documentation and well-commented code.
- Maintain a proactive mindset for optimizing analytical workflows and continuously improving models and tools.
- Exhibit creativity and innovation in problem-solving, with a practical and results-oriented approach.
Technical Requirements:
- Demonstrated experience coding in python specifically working in data science projects and using ML most common libraries.
- Previous experiences working with Generative AI and explainable AI are welcome.
- Expertise in Power BI: data modeling, DAX, dashboards, integration with multiple sources.
- Proficient in SQL for querying, transforming, optimizing databases.
- Experienced in Python for data analysis, automation, machine learning.
- Knowledgeable in data analytics, KPIs, business intelligence practices.
- Skilled in translating business requirements into insights and visualizations.
Our current tech stack is:
- Power BI (DAX)
- SQL
- Python
- Commonly used ML/AI libraries.
- Azure AI (Open AI)
Education
- Degree in Computer Science, Software Engineering, Applied Mathematics, or a related field.
- A master’s degree in data science or AI Engineering is an advantage.
Languages
If you are passionate about analytics, advanced AI algorithms, and challenging yourself, this is the right job for you!
