Senior Applied Scientist - CRM Job at Zalando Sverige (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

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
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
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

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

Truck Driver Class A CDL

Local Relief Drivers are responsible for delivering our products to small and la...

Location

United States , McMinnville

Salary:

27.80 - 29.26 USD / Hour

Keurig Dr Pepper

Expiration Date

Until further notice

Requirements

High school diploma or general equivalency diploma (GED) preferred
21 years of age or older
Lift, push, and pull a minimum of 50 pounds repeatedly
Valid Commercial Driver's License A (CDL A)
Ability to maintain valid DOT Driver Qualification File

Job Responsibility

Deliver products to small and large retailers on various routes
Manually unload trucks using a hand dolly
Build rapport with customers
Stock shelves and coolers as requested by customer
May be assigned merchandising and warehouse responsibilities as needed

What we offer

Medical
Dental and Vision
Paid Time Off
401(k) program with employer match
Child & Elder Care
Adoption Benefits
Paid Parental Leave
Fertility Benefits
Employee Resource Groups
Breastmilk Shipping Services

Fulltime

Enterprise Account Executive, Advertising Technology Solutions

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace i...

Location

Germany , Munich

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Proven sales track record in Ad-tech, retail media or SaaS solutions with consistent over-achievement against quota
Deep understanding of the marketplace and advertising ecosystem including DSPs, ad servers, APIs, and data-driven advertising solutions
Demonstrated ability to prioritise pipeline and accelerate sales cycles to meet quarterly targets
Experience navigating business sales situations requiring ROI demonstration and solution-selling approaches
Strong negotiation and influencing skills with experience building relationships across multiple stakeholder levels
English: C2 level (required)
German, French or Dutch is a plus

Job Responsibility

Develop and execute a go-to-market sales strategy for Mirakl Ads across your EMEA territory, owning quota attainment through a structured, repeatable approach to new customer acquisition within retailer and marketplace operator
Manage the full end-to-end sales cycle (typically 5 to 9 months) across all stages: prospecting and outbound engagement, discovery and business case development, technical validation with the solution engineering team, commercial negotiation with procurement and legal, and contract closure
Build deep expertise in Mirakl Ads and act as a trusted advisor on retail media monetisation strategies, sponsored product mechanics, and advertiser ROI, positioning Mirakl's differentiators against competing retail media solutions
Navigate complex retailer organisations to build and maintain senior-level relationships with the key decision-makers driving retail media initiatives, including: Chief Digital Officers, VP/Heads of eCommerce, Heads of Retail Media or Monetisation, CMOs, as well as engaging technical and legal stakeholders throughout the process
Own and grow a healthy, multi-stage pipeline, partnering closely with Solutions Engineering, Product, Customer Success, and Legal teams to accelerate deal progression and ensure a smooth transition to onboarding post-signature

What we offer

Public Transport Pass: 50% reimbursement on your monthly public transport subscription
Health Insurance: Flexible coverage tailored to individual or family needs, with Mirakl contributing to your plan
Meal Allowance: Mirakl provide a monthly meal allowance
Hybrid Setup: 4 days in-office & 1 day remote
Pension & Life Insurance: Mirakl contributes monthly to your pension and covers 100% of life insurance premiums
ClassPass forfait: Enjoy access to 40,000+ gyms and wellness studios worldwide with a no-commitment ClassPass membership
Paid Time Off: paid vacation days per calendar year

Fulltime

Truck Driver CDL A Local

Local UDS Drivers are responsible for delivering our products to small retailers...

Location

United States , Evansville

Salary:

28.14 - 29.60 USD / Hour

Keurig Dr Pepper

Expiration Date

Until further notice

Requirements

High school diploma or general equivalency diploma (GED) preferred
21 years of age or older
Lift, push, and pull a minimum of 50 pounds repeatedly
Valid Commercial Driver's License A (CDL A)
Ability to maintain valid DOT Driver Qualification File

Job Responsibility

Delivering products to small retailers on a set route
Manually unload trucks using a hand dolly
Build rapport with customers
Stock shelves and coolers as requested by customer

What we offer

Medical
Dental
Vision
Disability
Paid Time Off (including vacation and sick time)
401k with company match
Tuition Reimbursement
Mileage Reimbursement

Fulltime

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Senior Applied Scientist - CRM

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