Applus+ Laboratories · 2 days ago
Data Analyst
Applus+ Laboratories is focused on developing innovative digital solutions for global products and processes. They are seeking a Data Analyst & Backend Developer with AI expertise to contribute to their Digital team by analyzing data, developing AI models, and optimizing analytical workflows.
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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
Qualification
Required
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
Demonstrated experience coding in python specifically working in data science projects and using ML most common libraries
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
Degree in Computer Science, Software Engineering, Applied Mathematics, or a related field
Languages: English
Preferred
Previous experiences working with Generative AI and explainable AI are welcome
A master's degree in data science or AI Engineering is an advantage
Company
Applus+ Laboratories
We’re Applus+ Laboratories and we offer world-class product development testing and certification services.
Funding
Current Stage
Late StageCompany data provided by crunchbase