Machine Learning Engineer - Expert Dataiku - CDI - H/F
Primary stack
Nice to have's
Job description
About the Position
Machine Learning Engineer - Expert Dataiku - CDI - H/F
Long term contract
Location: Paris, France
We are seeking an experienced Data Scientist with expertise in Dataiku for a long-term contract in Paris, focusing on data analysis and machine learning.
Responsibilities
- Mission: Analyze business needs, define data collection and processing principles, implement data processing and visualization techniques, and present analyses and results to business units and sponsors.
- Technical Sharing: Share solutions and code reviews, provide recommendations, and suggest certifications to team members.
- Community Engagement: Participate in meet-ups, coding dojos, etc.
- Communication: Write articles and share experience feedback.
Requirements
- Profile: Graduate from a Grande École d’Ingénieur/Doctorate, specialized in Data Science or Artificial Intelligence.
- Experience: At least 5 years of experience in data, data analysis, and/or data science.
- Skills:
- Significant experience with Dataiku.
- Proficiency in data management and DataViz techniques.
- Mastery of Python, R, RShiny, SQL, and DevOps tools (Git, Docker, Jenkins/Nexus).
- Good knowledge of Big Data (pySpark, Spark, NoSQL).
- Familiarity with tools such as AWS SageMaker/Bedrock, Azure ML.
- Autonomy, organization, and a sense of sharing.
- Excellent communication and business orientation.
- Plus: Mastery of statistical analysis, predictive modeling, machine learning, and deep learning techniques.
Nice to Have
- Experience with machine learning and deep learning.
- Proficiency in statistical analysis and predictive modeling.
We Offer
- Advantages:
- Top 5 in the Great Place to Work ranking.
- Management by experts.
- Community-based organization.
- Agile DevOps excellence path.
- Sponsorship of several official certifications annually through our publisher partners.
- Access to the CampusTalan platform with over 1000 training courses available upon arrival.
- Simplified internal mobility.
- Commitment to workers with disabilities.
- Regular events and after-work gatherings.
- Parisian headquarters located at Charles-De-Gaulle Etoile.
- Digitalized meal vouchers.
- Vacation bonus.
- Referral bonuses.
- Shareholding.
- Paid time off.
About the Company
About Talan
Founded in France, Talan has grown into an international group that supports our clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise.
With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact.
Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory.
For more than 20 years, we have been translating technological innovation into competitive advantages across vital sectors: banking and financial services, energy, transport and mobility, luxury and retail, and healthcare.
Driven by our promise of "Positive Innovation," we have established ourselves as a leading player in addressing the growing complexity of economic, technological, and regulatory environments.
#TalanFrance #LI-EL1
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Manufacturing,Financial Services,Retail,Healthcare,Logistics
About the Company PASàPAS-KPF, with over 350 employees, addresses all SAP-related challenges for SMEs, SMBs, and large accounts. The company is committed to delivering premium service levels through its mastery of SAP innovation, including the first S/4HANA conversion. Products, Services & Tech Stack Core Solutions: Transformation digitale des organisations Amélioration de la productivité Renforcement de la satisfaction client Gestion efficace de la trésorerie et des rapports de conformité Technologies & Frameworks: SAP S/4HANA SAP Business ByDesign SAP Concur SAP Ariba SAP Customer Experience SAP Analytics Cloud SAP Data Intelligence Project Scope & Target Clients Client Base: Direction Générale Direction des Systèmes d’Information Direction Financière Direction de la Transformation Digitale Engineering Scale: Comprehensive range of services around SAP solutions to support the entire digital transformation journey.