October 22, 2024

AGC Glass Europe

Ottignies-Louvain-la-Neuve

DATA SCIENTIST - FLOW ANALYTICS

Flow Analytics, AGC's flagship solution for mobility beyond glass, is dedicated to revolutionizing urban environments by seamlessly managing people and traffic flow through innovative mobility analytics. Our mission is to create thriving, interconnected urban landscapes where individuals can move freely and safely. Our cutting-edge Li DAR-based solution empowers customers to analyze and leverage diverse traffic flows both indoors and outdoors, all while upholding the highest standards of privacy and security.
You will be part of an AGC dedicated structure called Incubation Factory that aims at creating new disruptive businesses around mobility. As Flow Analytics’ Data Scientist, you will have the chance to work in a fast-moving « start-up » mode, while having the benefits of a big and successful company, recognized across the industry.
More info on https://www.flow-analytics.io
Job description
We are looking for a highly skilled Data Scientist to join our team. As a data scientist at Flow Analytics by AGC, you will be play a key role for cleaning, analyzing and interpreting data acquired from sensors in the urban infrastructure. You will work closely with our product and engineering teams to develop predictive models and data-driven solutions that enhance our traffic analytics platform. Your work will directly impact the visualization and utilization of geospatial information to improve traffic flow and safety.
Key Responsibilities
Perception Algorithms & Models
o Design, train, and optimize machine learning models for object detection, classification, and motion tracking in dynamic environments.
o Apply computer vision techniques to improve the accuracy and efficiency of object perception systems.
Data Cleaning & Processing
o Develop and implement scalable pipelines for cleaning and preprocessing large perception datasets, including sensor fusion of Li DAR, camera, and radar data.
o Ensure data quality and integrity, handling missing values, noise, stitching, and anomalies in raw sensor data.
Data Analysis & Reporting
o Analyze large-scale perception data to extract actionable insights on object behavior, traffic flow, and environmental interactions.
o Develop visualizations and dashboards to communicate data-driven insights to stakeholders.
Dev Ops & Infrastructure
o Implement CI/CD pipelines for seamless deployment and integration.
Collaboration & Integration
o Collaborate with product managers to translate business requirements into data-driven solutions.
o Stay up-to-date with the latest trends and technologies in data science, geospatial analytics, and traffic management.

Required Skills
o Proven experience in cleaning, processing, and analyzing large datasets, preferably in traffic analytics or geospatial data analysis.
o Expertise in Python and data science libraries (e.g., Pandas, Num Py, Scikit).
o Strong knowledge of machine learning techniques, especially for object detection, classification, and motion tracking.
o Familiarity with cloud platforms for data processing (e.g., AWS, Azure) and distributed computing frameworks (e.g., Spark).
Preferred Skills
o Experience with deep learning frameworks (e.g., Tensor Flow, Py Torch) for building complex perception models.
o Knowledge of geospatial data analysis tools and techniques.
o Knowledge of edge computing solutions for deploying perception models in real-time environments.
o Experience with visualization tools such as Tableau, Power BI, or custom dashboard development (e.g., Plotly, D3.js).
o Familiarity with testing frameworks (pytest).
o Familiarity with Agile development methodologies.
Soft Skills
o Strong analytical thinking and problem-solving skills, particularly in interpreting real-world sensor data.
o Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
o Passionate about learning new technologies and keeping up with industry trends.

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of experience in data science, particularly large datasets analysis.

We offer:

a competitive base salary and a comprehensive benefits package and other perks designed to support your well-being and financial security.
professional development and growth opportunities, including training programs and skill enhancement within an inclusive and supportive work environment...

We promote work-life balance through flexible work arrangements, telecommuting options, and supportive policies that enable our employees to achieve balance between their professional and personal lives, recognizing the diverse needs of our team members.
Joining our team means becoming part of a dynamic and inclusive work environment that values diversity, equity, and inclusion. We prioritize collaboration, innovation, and mutual respect, fostering a culture where every voice is heard and valued.
We aim to demonstrate our dedication to providing a supportive, rewarding, and inclusive work environment where every individual has the opportunity to thrive and contribute to our collective success.