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

Manager, Data Science

Intuit is the global financial technology platform that powers prosperity for th...
Location
Location
Canada , Toronto
Salary
Salary:
168000.00 - 227500.00 USD / Year
intuit.com Logo
Intuit
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience applying data science, advanced analytics, or quantitative methods to marketing, growth, or lifecycle use cases
  • Experience leading and developing teams of data analysts or data scientists, with a demonstrated ability to coach both technical and business skills
  • Strong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurement
  • Hands-on experience building or operationalizing machine learning models (e.g., propensity, segmentation, churn, personalization) in partnership with engineering or platform teams
  • Proficiency with SQL and Python (or equivalent) for data analysis, experimentation, and modeling
  • Proven ability to lead cross-functional analytical projects end-to-end, from problem framing through execution and executive readout
  • Strong data storytelling and influence skills, with experience presenting insights and recommendations to senior leaders
  • Domain experience in lifecycle marketing, CRM, fintech, SaaS, or marketing technology preferred
Job Responsibility
Job Responsibility
  • Lead a team of marketing data scientists in defining and executing end-to-end data science roadmaps that support lifecycle marketing across QuickBooks Services (Capital, Payroll, Payments, Bill Pay) and Mailchimp, aligned to short- and long-term business outcomes
  • Own the measurement, experimentation, and modeling strategy for lifecycle marketing initiatives, including onboarding, attach, upsell, retention, and active use, leveraging causal inference, experimentation frameworks, and advanced analytics
  • Design, evaluate, and scale incrementality measurement approaches, including randomized experiments, holdouts, and quasi-experimental methods, to quantify the true impact of lifecycle marketing across Email, IPD, Push, SMS, Web, and cross-channel programs
  • Drive development and adoption of machine learning models for lifecycle marketing use cases such as propensity scoring, churn risk, personalization, and next-best-action, in partnership with central DS and ML platform teams
  • Translate complex analytical findings into clear, data-backed perspectives on marketing and business performance, with actionable recommendations tied to customer growth, revenue, and retention
  • Partner closely with Lifecycle Marketing, CRM Analytics, Product, GTM, and Finance to ensure strong metric definitions, data quality, and alignment between marketing performance and financial outcomes
  • Shape forward-looking data science capabilities by identifying gaps in experimentation, modeling, and data infrastructure, and influencing investments that improve learning velocity and decision-making
  • Manage a team of data scientists and contractors, including coaching on technical rigor, experimental design, modeling best practices, and data storytelling, while owning prioritization, intake, and delivery
  • Fulltime
Read More
Arrow Right
New

Stagiaires audit

Coffra group is one of the first multidisciplinary firms in France deploying suc...
Location
Location
France , Paris
Salary
Salary:
Not provided
coffra-group.com Logo
Coffra Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You are preparing a Master I / Master II, a gap year in Business School, are in a CCA / DSCG course or ideally looking for a final year internship
  • You have initial internships in Finance/Accounting/Management Control
  • You are looking for a 6-month internship in Audit from October 2026 to March 2027 or from January to June 2027
  • You are available for frequent travel in France
  • Student speaking English, ideally with knowledge of German.
Job Responsibility
Job Responsibility
  • Under the supervision of our seniors or managers, you will carry out statutory or contractual audit assignments for an international clientele
  • You will discover the audit profession quickly and completely: audit of simple cycles (fixed assets, purchases/suppliers, sales/customers, bank/financing), circularisations/inventories, analysis of legal documents, assistance in auditing complex cycles, verification of appendices and management reports, interviews with clients, etc.
  • Fulltime
Read More
Arrow Right
New

Onsite Endoscopic Specialist

At KARL STORZ, we are driven by a mission to enhance global health through innov...
Location
Location
United States , Arlington
Salary
Salary:
Not provided
karlstorz.com Logo
KARL STORZ
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A minimum of high school diploma or equivalent
  • Experience in Sterile Processing, Sales, or other Surgical Technology/Medical role
  • Our successful candidate will have excellent written and spoken English language business communication skills. They will also have demonstrated success working in a collaborative, service-oriented team environment.
  • Effective communicator, collaborative, and effective time management
  • Possess exceptional organizational skills and the ability to multi-task
  • MS Office - proficient user as the role will need to work with Excel spreadsheets and reporting
  • Role requires the completion of a drug screening for safety-sensitive positions
  • Must be able to lift/push/pull up to 25lbs
Job Responsibility
Job Responsibility
  • Face-to-face customer support, including OR, SPD and Biomed
  • Video tower/system set-up and support
  • Inspection, repair, troubleshooting and replacement of KARL STORZ devices
  • Monitoring, reporting, and facilitating repair/ exchange transactions
  • Transporting, cleaning/sterilization and packaging of instruments after use
  • Trouble shoot video and instrument issues in the O.R.
  • Instrument/equipment repair management
What we offer
What we offer
  • Relocation Support
  • Professional Growth & Development
  • Collaborative & Dynamic Work Environment
  • Access to Cutting-Edge Medical Technologies
  • Medical / Dental / Vision including a state-of-the-art wellness program and pet insurance, too
  • 3 weeks vacation, 11 holidays plus paid sick time
  • Up to 8 weeks of 100% paid company parental leave
  • 401(k) retirement savings plan providing a match of 60% of the employee’s first 6% contribution (up to IRS limits)
  • Section 125 Flexible Spending Accounts
  • Life, STD, LTD & LTC Insurance
  • Fulltime
Read More
Arrow Right
New

Pharmacy Technician

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Columbus
Salary
Salary:
17.00 USD / Hour
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
July 11, 2026
Flip Icon
Requirements
Requirements
  • Must comply with any state board of pharmacy requirements or laws governing the practice of pharmacy, which includes but is not limited to, age, education, and licensure/certification
  • If the state board of pharmacy does not address or mandate a minimum age requirement, must be at least 16 years of age
  • If the state board of pharmacy does not address or mandate a minimum educational requirement, must have a high school diploma or equivalent, or be actively enrolled in high school or high school equivalency program
Job Responsibility
Job Responsibility
  • Living our purpose by following all company SOPs at each workstation to help our Pharmacists manage and improve patient health
  • Following pharmacy workflow procedures at each pharmacy workstation (i.e., production, pick-up, drive-thru, and drop-off) for safe and accurate prescription fulfillment
  • Contributing to positive patient experiences by showing empathy and genuine care: creating heartfelt and personalized moments while serving patients at pick-up, drive-thru, and over the phone
  • keeping patients healthy by offering immunizations and other services at the register and over the phone
  • and demonstrating compassionate care by solving or escalating patient problems
  • Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team, such as accurately putting away medication deliveries and completing cycle counts, returns-to-stocks, waiting bin inventories, etc.
  • Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
  • actively seeking opportunities to expand clinical and technical knowledge needed to better assist patients
  • Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic
  • voluntarily traveling to stores in the market to work shifts as needed by the business
What we offer
What we offer
  • dental
  • vision
  • wellness resources
  • employee discounts
  • access to certain voluntary benefits
  • other programs
  • Parttime
Read More
Arrow Right