- +3
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- Paris, Île-de-France, France
About
Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard provides a holistic testing platform for AI models.
Co-founded in 2021 by Alex Combessie (CEO, ex-Dataiku engineer & ex-strategy consultant) and Jean-Marie John-Mathews (CPO, ex-Thales data scientist & researcher in AI Ethics), we are aiming to build the #1 platform to ensure the quality, security & compliance of AI models, with open-source and collaborative values.
Track record
In 2022, we raised our first round of 1.5 M€, led by Elaia, with participation from Elaia, Bessemer and notable angel investors including the CTO of Hugging Face.
In 2023, we received a strategic investment of 3 M€ from the European Commission to build a SaaS platform to automate compliance with the EU AI Act.
In 2024, we Giskard got another funding of 3 M€ from the France 2030 strategic AI plan to fund R&D on Generative AI (LLM) evaluation, in a consortium of leading experts: Mistral AI, Artefact, INA and BnF.
You can read more about our latest news in the press: TechCrunch, La Tribune, Les Echos, BFM TV
About the role
As a Senior Data Scientist for Customer Projects you will:
- Lead customer engagements for enterprise clients: finding new AI vulnerabilities, adding new evaluation methods & tests, writing audit reports & crafting dashboards, presenting results to customer stakeholders.
- Collaborate with the sales & marketing team to support the sales pipeline, provide technical expertise, and create demos & technical content.
- Regularly liaise with the R&D team to relay feedback, suggest improvements and test new features.
We are looking for an entrepreneurial doer with a strong drive, interest in early-stage startups, and with consulting experience in Data Science / ML Engineering, including on LLM projects and MLOps.
About you
- 4+ years of experience in consulting roles on Data Science / AI / ML Engineering projects for enterprise customers - preferably in international consulting firms or AI software companies firms
- Ability to thrive in fast-paced environments and manage high-level client expectations (CDOs, CTO, CISOs)
- Ability to communicate complex ideas in simple and convincing ways, with a keen attention to details
- Experience in LLM application development using tools such as Hugging Face, OpenAI, Mistral, LlamaIndex, Langchain, Deepset, Ollama, etc. or at least strong experience in MLOps
- Project management & self-organization skills
- Ability to manage junior data scientists and ML engineers
- Full proficiency in Python programming
- Fluency (oral & written) in both English and French
- Bonus: skills in web development (React, FastAPI) and DevOps (Docker, AWS).
- Bonus: experience in early-stage startups
Values
- Team spirit & empathy
- Being proactive & efficient
- Transparency & trust
- Being impactful in the AI field for society
- Vision & long-term picture
Recruitment process
You can get an offer in 4 weeks
- HR fit interview: 15 minutes
- Manager fit interview: 30 minutes
- Case study: 10 days to complete
- Case study interview: 45 minutes
- Reference calls: 2 persons
- Final interview with founders: 45 minutes
We value diversity, equity, and inclusivity. Giskard is an equal-opportunity employer. We do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran, or disability status.
We are remote-flex as we value productivity and work/life balance. You can adopt a hybrid work schedule where you come work from home 2-3 days / week. We only ask that you come to the Paris office (near Gare de l'Est and Canal Saint Martin) at least 1 day / week.
After internship, CDI employees are granted a significant equity package. We want to include everyone in the adventure and make it a collective win.
Salary: between 60 K€ and 100 K€ (brut) / year + 0.1-0.35% equity
Nice-to-have skills
- Python
- React
- Docker
- AWS
Work experience
- Data Engineer
- Machine Learning
- Data Analyst
Languages
- English