Nexthink
AI & ML Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Lausanne
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NENexthink
Full Stack Data Scientist(m/w/x)
Lausanne
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing algorithms for chat log analysis in digital employee experience software. End-to-end data science project delivery experience required. Unlimited vacation, flexible hours, 3 company-paid volunteer days.
Requirements
- BSc/MSc in Computer Science, Data Science, Mathematics, or related field
- Strong critical thinking and problem-solving skills
- Deep proficiency in Python and data science ecosystem
- Understanding of machine learning algorithms and statistical methods
- Experience delivering end-to-end data science projects
- Ability to implement research concepts into code
- Strong communication skills
- Experience with data visualization tools or BI platforms
- Fluency in English
- Hands-on experience with LLMs and modern NLP
- Experience with advanced chatbots or autonomous agents
- Familiarity with cloud-native environments and containerization
- Knowledge of MLOps best practices
- Interest in pushing AI boundaries and mentoring
Tasks
- Develop algorithms and tools to analyze chat logs
- Execute end-to-end data science projects iteratively
- Assess system changes through statistically sound evaluation
- Contribute to company benchmarking initiatives
- Translate business goals into engineering objectives
- Analyze massive datasets to decode AI behavior
- Experiment with cutting-edge architectural approaches
- Justify technical decisions with solid evidence
- Collaborate with product managers, engineers, and designers
- Translate ML research into production-grade implementations
- Create data visualizations and performance dashboards
- Contribute to a culture of technical excellence
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- numpy
- matplotlib
- seaborn
- plotly
- LLMs
- Prompt Engineering
- RAG
- Chain-of-Thought
- AWS
- Docker
- MLOps
Benefits
Flexible Working
- Hybrid work model
- Flexible hours
More Vacation Days
- Unlimited vacation
Social Impact
- 3 company-paid volunteer days
Competitive Pay
- Competitive compensation package
Job Security
- Permanent contract
Healthcare & Fitness
- Free fitness centre access
Public Transport Subsidies
- Half-fare travel card reimbursement
Additional Allowances
- 50% French class reimbursement
Snacks & Drinks
- Fresh fruit and snacks
Team Events
- Regular company events
Bonuses & Incentives
- Referral bonuses
Other Benefits
- Relocation package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nexthink and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NENexthink
Full Stack Data Scientist(m/w/x)
Lausanne
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing algorithms for chat log analysis in digital employee experience software. End-to-end data science project delivery experience required. Unlimited vacation, flexible hours, 3 company-paid volunteer days.
Requirements
- BSc/MSc in Computer Science, Data Science, Mathematics, or related field
- Strong critical thinking and problem-solving skills
- Deep proficiency in Python and data science ecosystem
- Understanding of machine learning algorithms and statistical methods
- Experience delivering end-to-end data science projects
- Ability to implement research concepts into code
- Strong communication skills
- Experience with data visualization tools or BI platforms
- Fluency in English
- Hands-on experience with LLMs and modern NLP
- Experience with advanced chatbots or autonomous agents
- Familiarity with cloud-native environments and containerization
- Knowledge of MLOps best practices
- Interest in pushing AI boundaries and mentoring
Tasks
- Develop algorithms and tools to analyze chat logs
- Execute end-to-end data science projects iteratively
- Assess system changes through statistically sound evaluation
- Contribute to company benchmarking initiatives
- Translate business goals into engineering objectives
- Analyze massive datasets to decode AI behavior
- Experiment with cutting-edge architectural approaches
- Justify technical decisions with solid evidence
- Collaborate with product managers, engineers, and designers
- Translate ML research into production-grade implementations
- Create data visualizations and performance dashboards
- Contribute to a culture of technical excellence
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- numpy
- matplotlib
- seaborn
- plotly
- LLMs
- Prompt Engineering
- RAG
- Chain-of-Thought
- AWS
- Docker
- MLOps
Benefits
Flexible Working
- Hybrid work model
- Flexible hours
More Vacation Days
- Unlimited vacation
Social Impact
- 3 company-paid volunteer days
Competitive Pay
- Competitive compensation package
Job Security
- Permanent contract
Healthcare & Fitness
- Free fitness centre access
Public Transport Subsidies
- Half-fare travel card reimbursement
Additional Allowances
- 50% French class reimbursement
Snacks & Drinks
- Fresh fruit and snacks
Team Events
- Regular company events
Bonuses & Incentives
- Referral bonuses
Other Benefits
- Relocation package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nexthink and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Nexthink
Industry
IT
Description
Nexthink is a leader in digital employee experience management software, providing IT leaders with insights to optimize employee experiences.
Not a perfect match?
- Nexthink
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Full-timeWith HomeofficeExperiencedLausanne - Nexthink
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