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Data Scientist

Il y a 2 mois


BoulogneBillancourt, Île-de-France Sidetrade Temps plein
About Sidetrade

Sidetrade is a leading global software company that specializes in transforming the Order-to-Cash process for international enterprises. Our AI-powered SaaS platform digitizes the financial customer journey, empowering Chief Financial Officers (CFOs) to secure and accelerate cash flow generation.

We are recognized as a Leader in Gartner's Magic Quadrant for two consecutive years, and we foster a culture of innovation, collaboration, and customer-centricity from our headquarters in Europe and North America.

Our R&D Team

Our R&D team comprises experienced technology 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.

Key Responsibilities
  • 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

We use a range of technologies to drive innovation and excellence in our products. These include:

  • 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
  • Deployment: Bash, Ansible, Docker
  • Collaboration tools: Confluence, Jira, Teams
Requirements
  • Master degree
  • 2 to 5 years' experience in a similar position
  • Proven data science experience with production launch of Machine Learning models
  • Applied knowledge of AI, GenAI and LLM
  • Solid knowledge of Python and object-oriented programming
  • Good knowledge of SQL and NoSQL databases
  • Familiarity with API Rest and Web development issues
  • Sensitivity to the performance of your algorithms, both in terms of relevance and hardware impact
  • A taste for discovery and technology watch
  • You know how to grasp a rich technical stack (Scheduling/Message queuing/Front/API/Data Workflow / Distributed Computing Framework / Machine Learning / SQL & NoSQL databases) and challenge it
  • Fluent in English (written and spoken) is a must (most of the meeting are in English).
Benefits
  • Immersive Bootcamp
  • Review your onboarding plan with your manager and develop an action plan to achieve your goals
  • Collaborate with the team and participate to the roadmap to optimize software performance
  • Expand your skill set, share your expertise and unlock your full potential
Our Culture

We cultivate a multicultural environment that fuels innovation. With over 22 nationalities represented, we strongly value diversity, gender equality, inclusivity, and fairness. As an equal opportunity employer, we reject all forms of discrimination and harassment. Your unique contributions are celebrated, driving collective success in our inclusive workplace.