- Company: Get A Job.ai
- Location: 9th arrondissement of Paris, 75009, Paris
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a leading data and AI consulting firm with a strong European presence. Our client is seeking a Senior Data Scientist to join their team in the 9th arrondissement of Paris. This role offers the opportunity to work on cutting-edge AI solutions across multiple industries including retail, luxury, consumer goods, healthcare, and finance.
Responsibilities
As a Senior Data Scientist, you will lead the design, delivery, and scaling of AI solutions while mentoring team members and serving as a trusted technical advisor.
Delivering end-to-end AI projects:
- Frame use cases with business teams, validate data availability, and define optimal approaches
- Design and implement machine learning and generative AI solutions that create measurable business impact
- Ensure solutions are robust, scalable, and production-ready through software engineering and MLOps best practices
Driving technical excellence:
- Translate business requirements into robust AI pipelines and architectures
- Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability
- Explore and apply advanced AI techniques to solve complex problems
Acting as a trusted advisor:
- Explain AI approaches in clear, pragmatic terms, highlighting feasibility, risks, and ROI
- Build strong relationships with stakeholders from operational teams to management
- Provide expert technical guidance within projects
Contributing to team development:
- Mentor junior data scientists and support their professional growth
- Share best practices through workshops, documentation, and training sessions
- Contribute to internal tools and accelerators to improve delivery efficiency
- Maintain active technology watch and introduce new methods and frameworks
What We're Looking For
Required experience and skills:
- 3+ years of hands-on experience developing and deploying data-driven solutions
- Strong knowledge in applied machine learning and generative AI
- Solid understanding of software engineering and MLOps best practices
- Experience delivering AI projects in cloud environments
Professional qualities:
- Intellectual curiosity and structured problem-solving abilities
- Pragmatic and creative approach to challenges
- Ability to bridge the gap between business stakeholders and technical teams
- Autonomous and reliable delivery with focus on client satisfaction
- Strong communication skills and ability to build trust with clients
- Passion for knowledge sharing and mentoring colleagues
How We Work With You
When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. The client's interview process includes an HR call, standard interview, technical interview, and fit interview. Please do not contact the client directly—all communication should go through our recruiting team to ensure the best outcome for your application.
Pay
Compensation details will be discussed during the screening process based on your experience and qualifications.
Get A Job.ai is an equal opportunity recruiter. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity, or any other protected status.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in 9th arrondissement of Paris, 75009, Paris, France
About this role & career path
Traits that fit this role
- Innovation
- Achievement Orientation
- Intellectual Curiosity
- Integrity
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET
Industry news
- I was a software engineer who couldn't get excited about AI. Now I'm studying to be a nurse. - Business Insider
- ‘AI code apocalypse’ hasn’t hit engineers as hard as the industry may think - IT Brew
- Want a software engineering job? You'll need more than coding skills in the AI era. - Business Insider
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Senior Data Scientist
- Employer Get A Job.ai
- Location 9th arrondissement of Paris, 75009, Paris
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 18, 2026
- Apply by October 18, 2026
- Overview Full job description on this page (465 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Scientist
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Scientist
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