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

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 (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

Head of Applied AI Engineering – Investment Banking

Engineer the future of global finance. At Citi, our Tech team doesn’t just suppo...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills, especially with senior bankers and C-level executives

Job Responsibility

Strategic AI Leadership – Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture
AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories
Data Strategy – Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams
Productization & Delivery – Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants
Governance & Compliance – Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance
Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

New

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

Pharmacy Technician

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Drexel Hill

Salary:

Not provided

CVS Health

Expiration Date

June 22, 2026

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
State-level licensure and national certification requirements vary by state, click here to learn more
Regular and predictable attendance, including nights and weekends
Ability to complete required training within designated timeframe
Attention and Focus
Customer Service and Team Orientation
Communication Skills
Mathematical Reasoning

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
Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team
Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic
Understanding and complying with all relevant federal, state, and local laws, regulations, professional standards, and ethical principles
Delivering additional patient health care services (e.g., immunizations, point-of-care testing, and voluntarily staffing offsite clinics), where allowable by law and supported by required training and certification
Where permissible, the Pharmacy Technician may also support immunizations, which includes the following responsibilities: Completing additional licensure and training requirements, in compliance with state Board of Pharmacy regulations, to obtain Technician Immunizer status to support preparing and administering vaccines
Educating patients about the importance of vaccines and referring patients to the Pharmacist-on-duty for vaccination questions

What we offer

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
and other resources, based on eligibility

Fulltime

New

Mri Technologist

MedPro Healthcare Staffing, a Joint Commission-certified staffing agency, is see...

Location

United States , Springfield

Salary:

Not provided

MedPro Healthcare Staffing

Expiration Date

Until further notice

Requirements

Completion of a two year approved School of Radiologic Technology
Valid state radiology registration as required by state law
Registry by the American Registry of Radiologic Technology.

Job Responsibility

MRI technologists utilize their knowledge of anatomy, physiology and the principles of MRI to safely and efficiently operate MRI scanners, assisting in the diagnosis of disease and injury.
Ensure the safety of patients, staff and visitors who come in contact with the powerful magnetic field of a MRI scanner.
Position patients and coils on a table that slides inside the MRI scanner.
Inject contrast media as required.
Set appropriate technical parameters, operate MRI scanners and related equipment, and observe image data on computer monitors during scans.
Be familiar with the differences from a normal image and an abnormal image.
Recognize and respond to life threatening situations.
Assure compliance with federal, state, and local technical and professional regulations and accepted practiced guidelines.
Delivers quality, cost effective patient care in a professional manner.
Works effectively to maintain an environment of excellence, which is patient focused, providing timely, compassionate, quality patient care.

What we offer

Weekly pay and direct deposit
Full coverage of all credentialing fees
Private housing or housing allowance
Group Health insurance for you and your family
Company-paid life and disability insurance
Travel reimbursement
401(k) matching
Unlimited Referral Bonuses up to $1,000

Fulltime

Senior Applied Scientist - CRM

Zalando Sverige

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 14, 2026

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