As a Data Scientist, you will play a key role in the ORIS organization, leveraging data and AI to create valuable insights and drive informed decision-making. You will collaborate with cross functional teams, suggesting, developing and deploying Artificial Intelligence driven solutions to improve our products and make a significant impact. You will have the opportunity to work in a fast-paced and multi-cultural environment, embracing agile principles and utilizing the kanban framework.
This position is a permanent contract based in ORIS. Offices are located near the train station Part Dieu, in Lyon with a great team!
Data Collection and preparation
Gather data from various sources, such as databases, imagery systems, APIs, or web scraping.
Clean and prepare data by handling missing values, outliers, and ensure data quality.
Preprocess and transform data to ensure it is suitable for analysis and modeling.
Models development, validation and deployment
Develop and train machine learning models of different types (computer vision, NLP, …) for various tasks (classification, regression, clustering, object detection, text generation, …)
Establish adequate models’ performance metrics according to the task (MAE, Precision, Accuracy, IoU, etc)
Validate and optimize the models for inference
Deploy the models and make them accessible to production systems
Build and maintain data pipelines to provide end to end IA based solutions.
Data Analysis
Explore the datasets to understand its structure, apply statistical techniques, identify patterns and trends
Analyze data to derive actionable insights to make better data-informed decisions.
Address issues related to data quality, privacy, and security.
Strategic Guidance and continuous improvement
Provide guidance based on data analysis, identifying opportunities for AI based solutions to improve our product and services
Stay updated on the latest data science methodologies, tools and technologies.
Share knowledge with the team and promote a culture of AI.
Required:
Proficiency in Python, with experience with the following Python libraries : Numpy, Pandas, Matplotlib, Sklearn
Understanding of data structures and algorithm complexity
Good understanding of Statistical Learning, Probability theory & Linear Algebra
Strong foundation in Deep Learning algorithms & concepts eg : Clustering, CNN, NLP, Time Series, Decision Trees, etc.
Knowledge and expertise in Deep Learning frameworks and libraries such as : Pytorch, Lightning, XGBoost, etc
Experience with training computer vision models : Semantic segmentation, object detection, classification, etc, and understanding of their architectures (Unet, YOLO, Resnet..)
Strong knowledge of Git and comfortable in working with branches, merging code, and resolving conflicts.
Knowledge or experience with GitLab CI/CD pipelines.
Knowledge of ETL pipelines, and data processing techniques (Encoding, Imputation, scaling, etc).
Nice to have
Familiarity with MLOps and Data-Management tools (ClearML, Mlflow, Weights and biases, tensorboard, etc)
Experience with Docker / Docker-compose and Containerization
Up to date with SOTA (State of the Art) architectures & research in the field
Familiarity with database systems (relational and NoSQL) like PostgreSQL,
Understanding of serverless architecture and microservices
Familiarity with AWS and its core services
Contribution to open source projects / Participation in hackathons or data challenges
Eagerness to learn and grow in a multicultural environment.
Problem-solving mindset with a passion for innovation and experimentation.
Ability to collaborate effectively with cross-functional teams.
Strong communication skills, with both written and verbal in English as a requirement
Organized and rigorous
Flexibility and agility to adapt, in fast-changing environment
Proficient in presenting technical achievements and explain outcomes of development to the business
Master degree in Data or IA
2+ years experience
First round : HR manager
Second round : technical
Third round : founders
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