CrawlJobs Logo

Senior Applied Scientist - CRM

zalando.se Logo

Zalando Sverige

Location Icon

Location:
Germany , Berlin

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel. We extend the Zalando experience beyond our platform, connecting customers with the fashion inspiration and shopping convenience they love. By leveraging cutting-edge technology, we ensure our marketing is relevant, engaging, and deeply respectful of customer privacy.

Job Responsibility:

  • Take ownership of complex research questions
  • apply advanced Causal Inference and Economics methodologies to drive CRM strategy
  • utilize advanced Python, SQL, and PySpark skills to build robust data processing pipelines
  • champion MLOps best practices
  • mentor junior scientists
  • bridge the gap between technical and business stakeholders

Requirements:

  • A strong academic foundation in Economics, Machine Learning, and Causal Inference (specifically Uplift Modeling)
  • at least 2 years of practical industry experience in the CRM or a related domain
  • deep proficiency in Python, SQL, and PySpark
  • a commitment to high coding standards
  • knowledge of Algorithmic Optimization is considered a plus
  • demonstrated experience in guiding less experienced colleagues
  • exceptional communication abilities

Nice to have:

Knowledge of Algorithmic Optimization

What we offer:
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando
  • 30% off Lounge by Zalando
  • discounts from external partners
  • 2 paid volunteering days per year
  • hybrid working model with up to 60% remote per week
  • work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start for full-time employees
  • relocation assistance available
  • family services
  • health and wellbeing options
  • mental health support and coaching
  • drive your development through our training platform and biannual peer-to-peer review

Additional Information:

Job Posted:
March 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Applied Scientist - CRM

Senior Applied Scientist - CRM

The Marketing Science team acts as the engine behind Zalando’s growth, partnerin...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.de Logo
Zalando
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A strong academic foundation in Economics, Machine Learning, and Causal Inference (specifically Uplift Modeling)
  • at least 2 years of practical industry experience in the CRM or a related domain
  • deep proficiency in Python, SQL, and PySpark
  • a commitment to high coding standards
  • exceptional communication abilities
Job Responsibility
Job Responsibility
  • Take ownership of complex research questions
  • apply advanced Causal Inference and Economics methodologies to drive CRM strategy
  • utilize advanced Python, SQL, and PySpark skills to build robust data processing pipelines
  • champion MLOps best practices
  • mentor junior scientists
  • bridge the gap between technical and business stakeholders
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando
  • 30% off Lounge by Zalando
  • discounts from external partners
  • 2 paid volunteering days per year
  • work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start for full-time employees
  • relocation assistance available
  • family services
  • health and wellbeing options
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist - Partner Tech

The Partner Tech Applied Science team acts as the engine behind Zalando’s growth...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando-lounge.de Logo
Zalando Lounge
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master degree or above (PhD) in quantitative economics, statistics, mathematics, physics, operation research or a related quantitative discipline with a strong theoretical foundation in statistics, econometrics, time series analysis, and machine learning methodologies
  • Command of causal inference is a big plus
  • At least 5 years of industry experience (3 years with PhD degree) in developing forecasting models, using both statistical methods and machine learning techniques
  • Understand the tradeoff of each method and their areas of applications
  • Have deep knowledge of the state of the art practices in forecasting, but also maintain a bias for simplicity
  • Excellent verbal and written communication skills with a curious and self-starter mindset
  • Ability to unblock yourself, but also proactively request support when needed to remove roadblocks
  • Deep proficiency in Python, SQL, and PySpark, with a commitment to high coding standards, including active participation in code reviews and elevating the team's engineering culture
  • Demonstrated experience in guiding less experienced colleagues and organizing team educational initiatives
Job Responsibility
Job Responsibility
  • Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions
  • Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders
  • Educate them about your products and solutions
  • Be the owner of the whole development cycle of algorithms - from opportunity discovery to production
  • Iteratively improve models and explore the art of possibility (e.g. new data sources, new ways of structuring the problem)
  • Build model pipelines and streamline analysis processes, using common programming tools (e.g. Python, R, Scala, SQL, PyTorch, Tensorflow etc.)
  • Mentor junior scientists and foster a culture of continuous learning and knowledge sharing within the team
  • Design and implement advanced experimentation frameworks to measure the causal impact of CRM campaigns
  • Build sophisticated models to identify which customers should receive specific promotions, minimizing waste and maximizing relevance
  • Directly influence how Zalando allocates marketing investment, ensuring we attribute value correctly and optimize for long-term growth
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience in a Data science role
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • 5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
  • Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
  • Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
  • Good team worker with excellent interpersonal, written, verbal and presentation skills
  • Experience building and optimizing data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
Job Responsibility
Job Responsibility
  • Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
  • Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
  • Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
  • Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
  • Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Work with data and analytics specialists to strive for greater functionality in our data systems
  • Identify trends, patterns from dataset to scope opportunities for automation
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience in a Data science role
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • 5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
  • Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
  • Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
  • Good team worker with excellent interpersonal, written, verbal and presentation skills
  • Experience building and optimizing data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
Job Responsibility
Job Responsibility
  • Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
  • Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
  • Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
  • Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
  • Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Work with data and analytics specialists to strive for greater functionality in our data systems
  • Identify trends, patterns from dataset to scope opportunities for automation
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right
New

Retail customer service

Working in our retail teams, you’ll enhance Betfred customers’ experiences every...
Location
Location
United Kingdom , Northwich
Salary
Salary:
Not provided
betfred.com Logo
Betfred
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Be 18+ and have the right to work in the UK
  • Must be able to work evenings, weekends, and public holidays
  • Outstanding customer service skills and the ability to engage all customers
  • A passion for sports, betting and gaming is beneficial but not essential
  • An eagerness to learn, develop and flourish within the Betfred family
Job Responsibility
Job Responsibility
  • Processing customers’ bets in a timely and attentive manner
  • Attending to all customer queries quickly and knowledgeably
  • Engaging customers with expert knowledge of our products and promotions
  • Supporting key promotional events throughout the sporting calendar
  • Maintaining a well-presented environment which customers love to be a part of
  • Being a team player – collaboration is key to improving the customer experience
  • Handling cash transactions with the upmost care and accuracy
  • Following our Think 25 policy and adhering to our age verification processes
What we offer
What we offer
  • Enhance your income: benefit from bonuses, incentives, retail discount vouchers and more
  • Monthly pension contributions
  • Enhanced maternity & paternity pay
  • A long-service recognition programme and life milestone rewards
  • A recognition scheme to earn and convert points to spend with over 700 retailers
  • A comprehensive financial wellbeing package including salary-based savings with a 5% boost, early access to earnings and free 121 financial coaching
  • Mental health support including an independent Employee Assistance Programme, a 24/7 virtual GP service and complimentary eye tests
Read More
Arrow Right
New

Warrant field agent

As a Warrant Field Agent, you will be responsible for executing court warrants a...
Location
Location
United Kingdom , Lancaster
Salary
Salary:
Not provided
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Full UK driving licence
  • Access to your own vehicle with business insurance
  • ULEZ-compliant vehicle (if working within the London ULEZ zone)
  • Clean DBS check
  • Healthy credit history
  • Strong organisational, leadership, negotiation, and problem-solving skills
Job Responsibility
Job Responsibility
  • Execute court warrants at residential and commercial properties
  • Recover utility arrears and carry out meter disconnections or exchanges
  • Plan, organise, and lead on-site teams, including locksmiths, engineers, and dog handlers
  • Manage workloads with up to four weeks’ visibility of scheduled work
  • Provide guidance and mentorship to team members
  • Ensure full compliance with all relevant legislation, FCA rules, data protection requirements, and company policies
  • Conduct operational assessments and evaluations to improve effectiveness
  • Prepare accurate reports and documentation relating to operations and performance
  • Identify, manage, and resolve disputes in line with agreed procedures
  • Collaborate with internal teams and clients to achieve operational objectives
What we offer
What we offer
  • Guaranteed daily rate
  • UK-wide opportunities with work allocated to pre-agreed postcode areas
  • Full training and continuous support provided
  • Opportunities for career progression and access to different roles within the business
Read More
Arrow Right
New

Retail customer service

Working in our retail teams, you’ll enhance Betfred customers’ experiences every...
Location
Location
United Kingdom , Bristol
Salary
Salary:
Not provided
betfred.com Logo
Betfred
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Be 18+ and have the right to work in the UK
  • Must be able to work evenings, weekends, and public holidays
  • Outstanding customer service skills and the ability to engage all customers
  • A passion for sports, betting and gaming is beneficial but not essential
  • An eagerness to learn, develop and flourish within the Betfred family
Job Responsibility
Job Responsibility
  • Processing customers’ bets in a timely and attentive manner
  • Attending to all customer queries quickly and knowledgeably
  • Engaging customers with expert knowledge of our products and promotions
  • Supporting key promotional events throughout the sporting calendar
  • Maintaining a well-presented environment which customers love to be a part of
  • Being a team player – collaboration is key to improving the customer experience
  • Handling cash transactions with the upmost care and accuracy
  • Following our Think 25 policy and adhering to our age verification processes
What we offer
What we offer
  • Benefit from bonuses, incentives, retail discount vouchers and more
  • Monthly pension contributions
  • Enhanced maternity & paternity pay
  • A long-service recognition programme and life milestone rewards
  • A recognition scheme to earn and convert points to spend with over 700 retailers
  • A comprehensive financial wellbeing package including salary-based savings with a 5% boost, early access to earnings and free 121 financial coaching
  • Mental health support including an independent Employee Assistance Programme, a 24/7 virtual GP service and complimentary eye tests
Read More
Arrow Right
New

Housekeeper

Homes for Students is the UK’s leading independent provider of student accommoda...
Location
Location
United Kingdom , Birmingham
Salary
Salary:
19666.66 GBP / Year
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Previous experience of a similar role in a customer-focused environment
  • Ability to contribute to targets and deliver excellent results
  • Excellent communication and ability to provide an outstanding customer service
  • Effective team member with a flexible approach to work and colleagues
  • Ability to undertake manual work to a high standard
  • Commitment to undergo further training through operational requirements and personal staff development
Job Responsibility
Job Responsibility
  • Ensuring the common areas of the Property are cleaned to a high standard
  • Carry out planned and reactive cleaning duties in student buildings located throughout the Property, student kitchen areas, offices, communal and toilet areas including replenishing consumables to a high standard of hygiene
  • Play a key role in our summer turnaround time when we say goodbye to one intake of students and prepare for the next
What we offer
What we offer
  • Generous holiday package of 25 days, plus bank holidays
  • Access to a range of exclusive retail discounts
  • Take your special day off (birthday)
  • Cycle-to-work scheme
  • 2 charity days per annum
  • Opportunity to work towards a nationally recognised qualification
  • Parttime
Read More
Arrow Right