Data Scientist

Calling all tech enthusiasts! Are you a problem-solving, curious, and strategic Data Scientist ? Join us at Sidetrade, the leading global SaaS provider recognized by Gartner.(https://go.sidetrade.com/GartnerMagicQuadrant22.ht)

Indulge your passion for high-availability software and performance enhancement as part of our dynamic team. Embrace the challenge, embrace the excitement – become a Data Scientist and thrive! Shape the future of AI-powered Order-to-Cash at Sidetrade today. Join us in creating innovative solutions that redefine the industry!

About Sidetrade and its amazing R&D team

Sidetrade is a fast-growing international software company that is transforming the Order-to-Cash process for global enterprises. Its AI-powered SaaS platform digitizes the financial customer journey, empowering CFOs to secure and accelerate cash flow generation. Recognized as a Leader in Gartner's Magic Quadrant for two consecutive years, Sidetrade fosters a culture of innovation, collaboration, and customer-centricity from its headquarters in Europe and North America.

The R&D team comprises experienced tech professionals who share a deep passion for technology. Together, they are dedicated to developing cutting-edge software solutions that drive the transformation of our customers' work processes. We provide comprehensive training, coaching, resources, and mentorship to empower every team member's growth and nurture their success.

What you will love at Sidetrade:

We are seeking a passionate and knowledgeable Data Scientist with a multifaceted skill set. Immerse yourself in the exhilarating world of AI and Data Science within our cutting-edge tech environment. Collaborate with like-minded individuals, embracing the latest tools, techniques, and technologies. Fuel your professional growth and innovation within our agile development ecosystem.

Your missions :

• Build solutions with AI, GenAI, LLM, Machine learning, Deep learning, Big Data for our products
• Define the technical and functional orientations of the product in interaction with our Product, Marketing and Sales teams.
• Participate in developing the architecture (LakeHouse, DataWareHouse, DataLake, ETL, Search Engine, NoSQL, SQL) and designing scalable and smart algorithms
• Enhance your skills through constant discussions with specialists in their fields, and internal hackathons
• Participate in data science guild projects: Exploratory research, Data mining, Data analysis, POC Machine learning,..
• You will be involved in the entire development cycle: design, implementation, testing, release and maintenance.
• Through your expertise, you will reinforce the continuous improvement of development processes.

Technical environment :

• Languages : Python & SQL
• Data Storage : Oracle, Postgres, Elasticsearch, Greenplum, MongoDB
• Data Science framework : Dataiku, Jupyter Notebook, Metaflow
• Dataviz : Tableau Server, PowerBI
• Data processing : Talend, Python, DBT, Kafka
• Source control : Git
• Déployment: Bash, Ansible, Docker
• Confluence, Jira, Teams