Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
New Job?Nejo!
Your personal AI career agent
ZAZalando
Applied Scientist - Demand Forecast(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Refining article demand forecast engine with advanced ML and time series analysis. Causal inference knowledge a big plus. 27-30 days holiday, up to 60% remote.
Requirements
- Master degree or above (PhD) in quantitative economics, statistics, mathematics, physics, operation research or related quantitative discipline
- Strong theoretical foundation in statistics, econometrics, time series analysis, and machine learning methodologies
- Causal inference knowledge is a big plus
- At least 3 years industry experience (1 year with PhD)
- Developing forecasting models using statistical methods and machine learning
- Understand tradeoff of forecasting methods and applications
- Deep knowledge of state of the art forecasting practices
- Bias for simplicity in forecasting
- Excellent verbal and written communication skills
- Curious and self-starter mindset
- Ability to unblock yourself
- Proactively request support when needed
- Deep proficiency in Python
- Deep proficiency in SQL
- Deep proficiency in PySpark
- Commitment to high coding standards
- Active participation in code reviews
- Elevating team's engineering culture
- Practical experience using AI-assisted coding
- Developing high quality production code
Tasks
- Collaborate with product managers, engineers, and analysts
- Refine industry-leading article demand forecast engine
- Support senior members and Product Managers in scientific roadmap
- Work with Principal Scientists and leaders to maximize forecast performance
- Conceptualize, prototype, and productionize advanced demand forecast solutions
- Solve complex problems using various methods and tools
- Communicate technical issues and results to team members and stakeholders
- Educate stakeholders about products and solutions
- Participate in the full development cycle of algorithms
- Discover opportunities and iteratively improve models
- Explore new data sources and problem structuring methods
- Build and streamline model pipelines and analysis processes
- Use programming tools like Python, Databricks, Scala, SQL, PyTorch, Tensorflow
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- PySpark
- AI-assisted coding
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando 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?
- Zalando
Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zalando
Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Zalando
Applied Scientist - Merchandise Integrity(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - home24 SE
Data Scientist - Sales Forecasting & Pricing(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin
ZAZalando
Applied Scientist - Demand Forecast(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Refining article demand forecast engine with advanced ML and time series analysis. Causal inference knowledge a big plus. 27-30 days holiday, up to 60% remote.
Requirements
- Master degree or above (PhD) in quantitative economics, statistics, mathematics, physics, operation research or related quantitative discipline
- Strong theoretical foundation in statistics, econometrics, time series analysis, and machine learning methodologies
- Causal inference knowledge is a big plus
- At least 3 years industry experience (1 year with PhD)
- Developing forecasting models using statistical methods and machine learning
- Understand tradeoff of forecasting methods and applications
- Deep knowledge of state of the art forecasting practices
- Bias for simplicity in forecasting
- Excellent verbal and written communication skills
- Curious and self-starter mindset
- Ability to unblock yourself
- Proactively request support when needed
- Deep proficiency in Python
- Deep proficiency in SQL
- Deep proficiency in PySpark
- Commitment to high coding standards
- Active participation in code reviews
- Elevating team's engineering culture
- Practical experience using AI-assisted coding
- Developing high quality production code
Tasks
- Collaborate with product managers, engineers, and analysts
- Refine industry-leading article demand forecast engine
- Support senior members and Product Managers in scientific roadmap
- Work with Principal Scientists and leaders to maximize forecast performance
- Conceptualize, prototype, and productionize advanced demand forecast solutions
- Solve complex problems using various methods and tools
- Communicate technical issues and results to team members and stakeholders
- Educate stakeholders about products and solutions
- Participate in the full development cycle of algorithms
- Discover opportunities and iteratively improve models
- Explore new data sources and problem structuring methods
- Build and streamline model pipelines and analysis processes
- Use programming tools like Python, Databricks, Scala, SQL, PyTorch, Tensorflow
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- PySpark
- AI-assisted coding
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando 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
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Not a perfect match?
- Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zalando
Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zalando
Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Zalando
Applied Scientist - Merchandise Integrity(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - home24 SE
Data Scientist - Sales Forecasting & Pricing(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin