CH10 - BJB Bank Julius Baer & Co. Ltd.
Data Scientist(m/w/x)
Full-timeOn-siteSenior
Zürich
New Job?Nejo!
The AI Job Search Engine
DEDeepMind
Senior Data Scientist(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- SQL
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepMind 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.
Not a perfect match?
- Julius Baer
Data Scientist(m/w/x)
Full-timeOn-siteSeniorZürich - CSL Behring
Senior Biostatistician(m/w/x)
Full-timeOn-siteSeniorGlattbrugg - PricewaterhouseCoopers AG
AI & Business Transformation Senior Manager(m/w/x)
Full-timeOn-siteManagementZürich - TripleLift
Data Scientist(m/w/x)
Full-timeOn-siteExperiencedZürich
DEDeepMind
Senior Data Scientist(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- SQL
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepMind 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
DeepMind
Industry
Science
Description
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
Not a perfect match?
- CH10 - BJB Bank Julius Baer & Co. Ltd.
Data Scientist(m/w/x)
Full-timeOn-siteSeniorZürich - Julius Baer
Data Scientist(m/w/x)
Full-timeOn-siteSeniorZürich - CSL Behring
Senior Biostatistician(m/w/x)
Full-timeOn-siteSeniorGlattbrugg - PricewaterhouseCoopers AG
AI & Business Transformation Senior Manager(m/w/x)
Full-timeOn-siteManagementZürich - TripleLift
Data Scientist(m/w/x)
Full-timeOn-siteExperiencedZürich