Senior Applied Scientist - CRM Job at Zalando (Berlin)

Senior Applied Scientist - CRM

The Marketing Science team acts as the engine behind Zalando’s growth, partnerin...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

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

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

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

Fulltime

Senior Applied Scientist - Partner Tech

The Partner Tech Applied Science team acts as the engine behind Zalando’s growth...

Location

Germany , Berlin

Salary:

Not provided

Zalando Lounge

Expiration Date

Until further notice

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

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

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

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Manager, Data Science

Intuit is the global financial technology platform that powers prosperity for th...

Location

Canada , Toronto

Salary:

168000.00 - 227500.00 USD / Year

Intuit

Expiration Date

Until further notice

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

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

Cafe Manager

Café Manager – Restaurant Associates Restaurant Associates is looking for an ex...

Location

United Kingdom , London

Salary:

19.06 GBP / Hour

14forty

Expiration Date

Until further notice

Requirements

Previous experience managing a café or similar hospitality operation
Strong leadership and people management skills
Excellent organisational and communication abilities
A commercial mindset with experience managing KPIs and budgets
A passion for food, coffee, and customer service
The ability to lead by example in a fast-paced environment

Job Responsibility

Lead, coach, and develop the café team
Deliver exceptional customer service and hospitality
Manage daily café operations, staffing, and service standards
Oversee stock control, ordering, and waste management
Monitor labour, budgets, and financial performance
Ensure compliance with food safety, hygiene, and health & safety regulations
Drive sales and identify opportunities to enhance the customer experience

What we offer

Contributory pension scheme
Grow your career with our Career Pathways and MyLearning programmes
Quick access for you and your immediate family to a Digital GP, and wider healthcare benefits
Exclusive travel discounts with TUI, Expedia, Booking.com and many more
Save money on your food shop with discounts on Tesco, Sainsbury's, Morrisons and many more
Up to 44% off cinema tickets to enjoy your favourite blockbuster
Receive cash rewards every time you spend and use them on a wide range of brands
Un-wind with us with free wellness, mindfulness and exercise classes
You can share all discounts and offers with your friends and families

Fulltime

Production Test Technician-Instrument Assembly

We are seeking an electro-mechanical/optic production technician to join our ins...

Location

United States , Pleasanton

Salary:

30.00 - 36.00 USD / Hour

10x Genomics

Expiration Date

Until further notice

Requirements

2 years associate degree or 1+ years of technician experience in capital equipment production field
Hands on experience on assembly and/or testing of complex electromechanical/optic systems
Hands on experience using basic hand tools to assemble and disassemble equipment, including screwdrivers, wrenches, torque-wrenches, soldering equipment, wiring tools, etc
Basic trouble shooting skills on electrical/electronic/mechanical/laser/optic system
Strong team collaboration skills, detail-oriented and excellent organization and prioritization skills
Strong communication skills: listening, speaking, writing, and interacting
Must be flexible, forward-thinking, motivated, and have the ability to act independently while balancing a broad range of organizational needs
Proficient computer skills using Windows, MS-Office, and other PC based software
Able to safely lift and manipulate 50 pounds

Job Responsibility

Assembles, integrate, and test a wide variety of electronic, electro-mechanical, opto-mechanical, and optic sub-assemblies
Basic troubleshooting on mechanical, electrical, and optical systems
Work with NPI/manufacturing engineers to resolve material incoming quality and design issues following proper NCR/MRB processes
Execute instrument production operations accordingly to ensure the integrity and quality of 10x products
Prepare and pack instrument for shipment
Production equipment maintenance/calibration
Participate in 5S and CIP projects
Identify issues occurred on production floor and escalate issues to manager’s or MSE’s attention
Identify unsafe operations and practices and report to Manager immediately
Follows procedures/work instructions (WI) in performing sub-system assemble, system integration, and system testing

What we offer

Equity grants
Comprehensive health and retirement benefit programs
Annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented
Generous Time Off
Award-Winning Workplace

Fulltime

Summer Internship 2026

A pathway created exclusively for students currently attending university or rec...

Location

United Kingdom , Cardiff

Salary:

26300.00 GBP / Year

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Graduates or students in their penultimate or final year of university
You’ll need to be eligible to work in the UK without company sponsorship
Demonstrates initiative and willingness to learn
Computer literate, strong analytical mindset and a passion for problem solving
Ability to work with data and information
Excellent people and communication skills
Ability to build positive working relationships
For you to be bold, open to change and to challenge the way things are done

Job Responsibility

The opportunity to lead on projects in a FTSE 100 company
You’ll be joining with one of several interns, so you’ll have a strong network along with a comprehensive induction from day one
To drive your own performance and learning – you’ll receive support, but the internship is challenging, and you’ll be expected to champion your own development
Day-to-day your responsibilities will vary, depending on where you are placed

What we offer

33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
option to buy or sell up to an additional five days of annual leave
all colleagues eligible for up to £3,600 of free shares each year after one year of service

Fulltime

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Senior Applied Scientist - CRM

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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Senior Applied Scientist - CRM

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Cafe Manager

Production Test Technician-Instrument Assembly

Summer Internship 2026

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