CH10 - BJB Bank Julius Baer & Co. Ltd.
Data Scientist(m/w/x)
Vollzeitnur vor OrtSenior
Zürich
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DEDeepMind
Senior Data Scientist(m/w/x)
Zürich
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing experiments and analyzing large, complex datasets for AI product strategies and scientific discovery. 5 years analysis and coding (Python, R, SQL) experience required. Work on AI for public benefit and scientific discovery.
Anforderungen
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field
- 5 years experience with analysis applications (insights, statistical analysis, business problem solving) and coding (Python, R, SQL) OR 2 years experience with Master's degree
- 2 years experience identifying business/product improvement opportunities and measuring initiative success
- Advantageous: Bias for action and relentless drive
- Advantageous: Resourceful and creative problem-solver
- Advantageous: Comfort with ambiguity
- Advantageous: Thriving on challenge
- Advantageous: Strong business acumen and strategic mindset
- Advantageous: Ability to connect data-driven insights to business impact
- Advantageous: Ability to translate business needs into data science problems
- Advantageous: Deep technical expertise
- Advantageous: Strong foundation in statistical modeling, machine learning, experimental design
- Advantageous: Proficiency in SQL
- Advantageous: Hands-on experience with Python or R
- Advantageous: Exceptional communication and presentation skills
- Advantageous: Ability to articulate complex technical concepts to diverse audiences
- Advantageous: Compelling storytelling with data to influence decisions
- Advantageous: Collaborative and influential partner
- Advantageous: Track record of collaborating with and influencing cross-functional teams
- Advantageous: Readiness to work in shared roadmap environment
- Advantageous: Commitment to user trust and privacy
- Advantageous: Understanding of data usage transparency
- Advantageous: Commitment to granular user controls over personal information
Aufgaben
- Partner with PM, engineering, and UX to develop data-driven product strategies
- Translate ambiguous questions into well-defined problems
- Design experiments
- Analyze large, complex datasets for insights
- Develop and implement novel, goal-oriented metrics
- Build and deploy statistical/ML models to understand users
- Enhance product capabilities using these models
- Personalize user experience with these models
- Communicate findings and recommendations to stakeholders, including executives
- Champion a data-driven culture
- Feed user engagement insights back into models
- Collaborate with the GenAI team on model quality
- Collaborate with the GenAI team on feature adoption
- Act as a technical leader for a global team
- Guide junior members on complex analyses
- Uphold best practices to ensure high-quality, impactful work
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
- SQL
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DeepMind erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Julius Baer
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DEDeepMind
Senior Data Scientist(m/w/x)
Zürich
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing experiments and analyzing large, complex datasets for AI product strategies and scientific discovery. 5 years analysis and coding (Python, R, SQL) experience required. Work on AI for public benefit and scientific discovery.
Anforderungen
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field
- 5 years experience with analysis applications (insights, statistical analysis, business problem solving) and coding (Python, R, SQL) OR 2 years experience with Master's degree
- 2 years experience identifying business/product improvement opportunities and measuring initiative success
- Advantageous: Bias for action and relentless drive
- Advantageous: Resourceful and creative problem-solver
- Advantageous: Comfort with ambiguity
- Advantageous: Thriving on challenge
- Advantageous: Strong business acumen and strategic mindset
- Advantageous: Ability to connect data-driven insights to business impact
- Advantageous: Ability to translate business needs into data science problems
- Advantageous: Deep technical expertise
- Advantageous: Strong foundation in statistical modeling, machine learning, experimental design
- Advantageous: Proficiency in SQL
- Advantageous: Hands-on experience with Python or R
- Advantageous: Exceptional communication and presentation skills
- Advantageous: Ability to articulate complex technical concepts to diverse audiences
- Advantageous: Compelling storytelling with data to influence decisions
- Advantageous: Collaborative and influential partner
- Advantageous: Track record of collaborating with and influencing cross-functional teams
- Advantageous: Readiness to work in shared roadmap environment
- Advantageous: Commitment to user trust and privacy
- Advantageous: Understanding of data usage transparency
- Advantageous: Commitment to granular user controls over personal information
Aufgaben
- Partner with PM, engineering, and UX to develop data-driven product strategies
- Translate ambiguous questions into well-defined problems
- Design experiments
- Analyze large, complex datasets for insights
- Develop and implement novel, goal-oriented metrics
- Build and deploy statistical/ML models to understand users
- Enhance product capabilities using these models
- Personalize user experience with these models
- Communicate findings and recommendations to stakeholders, including executives
- Champion a data-driven culture
- Feed user engagement insights back into models
- Collaborate with the GenAI team on model quality
- Collaborate with the GenAI team on feature adoption
- Act as a technical leader for a global team
- Guide junior members on complex analyses
- Uphold best practices to ensure high-quality, impactful work
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
- SQL
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DeepMind erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
DeepMind
Branche
Science
Beschreibung
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
Noch nicht perfekt?
- CH10 - BJB Bank Julius Baer & Co. Ltd.
Data Scientist(m/w/x)
Vollzeitnur vor OrtSeniorZürich - Julius Baer
Data Scientist(m/w/x)
Vollzeitnur vor OrtSeniorZürich - CSL Behring
Senior Biostatistician(m/w/x)
Vollzeitnur vor OrtSeniorGlattbrugg - PricewaterhouseCoopers AG
AI & Business Transformation Senior Manager(m/w/x)
Vollzeitnur vor OrtManagementZürich - TripleLift
Data Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenZürich