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

New

Ks1 Teacher

Are you looking for a rewarding role where no two days are the same? Are you see...

Location

United Kingdom , Ely

Salary:

150.00 - 233.00 GBP / Day

Randstad

Expiration Date

July 28, 2026

Requirements

Teaching
121 teaching experience
communication
effective discipline
empathy
engaging
EYFS experience (foundation years)
FMS experience
good behaviour management skills
good classroom management

What we offer

Flexible working hours
Competitive and scaled rates of pay
A dedicated and experienced primary consultant
Ongoing training and support
Excellent CPD opportunities
£300.00 Refer a Friend Vouchers
Welcoming and forward thinking schools
Access to free training courses and updates
An efficient PAYE payroll system - No Umbrella or third parties!!
Workplace pension scheme

New

Learning Support Assistant (SEN)

A brilliant special educational needs school local to you is looking for an outg...

Location

United Kingdom , Duxford

Salary:

21255.00 - 24055.00 GBP / Year

Randstad

Expiration Date

July 28, 2026

Requirements

GCSE's with minimum Grade C/ level 4 or equivalent, including Maths and English language
Experience of working with adults or children with learning or communication difficulties
Honest, trustworthy & ethical behaviour at all times

Job Responsibility

Interacting and participating with the students in the development of skills, supporting pupils to reach their potential for independence
Supporting clients' participation in social, leisure, educational and employment opportunities within the local community
Providing the support and care identified in students' individual learning plans
Encouraging and enabling students to maintain acceptable levels of personal and environmental hygiene
Participating in relevant training to achieve required qualifications and attend mandatory training days/courses, on or off site, as and when required

What we offer

Access to all school facilities
On-site parking
CPD opportunities available for all staff
Free hot meal
On-site speech & language and occupational therapists
Off-site activities such as horse-riding, swimming, shopping and park visits
Opportunity to complete fully funded training

Fulltime

New

Ks1 Teacher

Do you want to make a real difference in the classroom? Are you ready to take ba...

Location

United Kingdom , Huntingdon

Salary:

150.00 - 233.00 GBP / Day

Randstad

Expiration Date

July 28, 2026

Requirements

BA Hons (QTS)
BEd
BSc Hons (QTS)
PGCE
PGDE (Scotland)
QTLS
QTS
Schools direct
SCITT
121 teaching experience

What we offer

Flexible working hours
Competitive and scaled rates of pay
A dedicated and experienced primary consultant
Ongoing training and support
Excellent CPD opportunities
£300.00 Refer a Friend Vouchers
Welcoming and forward thinking schools
Access to free training courses and updates
An efficient PAYE payroll system - No Umbrella or third parties!!
Workplace pension scheme

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Senior Applied Scientist - CRM

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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