Data Analyst

Applus+ Laboratories • Full-time • Troy, MI, US • 4h ago

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