Senior Applied Scientist - Partner Tech Job at Zalando Sverige (Berlin)

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

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

Are you passionate about shaping the future of AI and empowering millions of use...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) including some experience with SQL and at least one programming language such as Python or R and business intelligence tools (e.g., Power BI, Tableau)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tech) including some experience with SQL and at least one programming language such as Python or R and business intelligence tools (e.g., Power BI, Tableau)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec) including some experience with SQL and at least one programming language such as Python or R and business intelligence tools (e.g., Power BI, Tableau)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Lead complex, ambiguous data science initiatives, translating open-ended business problems into well-scoped analyses, models, and experimentation plans with significant impact, while driving end-to-end efforts from data acquisition and validation to feature preparation and development of reusable data assets, upholding best practices for data quality and integrity
Partner closely with senior product, engineering, and business leaders to inform product roadmaps and investment decisions through data-driven insights
Work with product and data teams to shape analytical strategy — defining success metrics, experimentation frameworks, and measurement standards, and establishing scalable modeling and experimentation best practices to drive product adoption, engagement, and growth
Apply advanced statistical, machine learning, and data mining techniques on large-scale structured and unstructured data, selecting appropriate approaches to solve business problems and developing, evaluating, and iterating on models that are statistically rigorous, actionable, and informed by customer feedback
Build and maintain dashboards, reporting, and visualizations that enable teams to monitor KPIs, track experimentation results, and make data‑informed decisions
Apply a strong customer‑centric mindset to understand customer goals, identify high‑value scenarios and growth opportunities where advanced analytics or modeling can unlock growth or customer value
Communicate insights and recommendations clearly to technical and non‑technical audiences, influencing product strategy, prioritization, and execution
Stay ahead of industry trends and emerging techniques, translating them into practical, scalable impact for the business
Mentor and guide other data scientists, elevating analytical rigor, storytelling, and technical quality

Fulltime

Vice President, Data & Tech Learning

Vice President, Data & Tech Learning At Mastercard, technology and data capabil...

Location

United States of America , New York

Salary:

230000.00 - 368000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Significant leadership experience in learning, talent, or workforce development, with direct exposure to technology, data, or engineering heavy environments
Demonstrated success designing and leading technical skill development at advanced levels, not just generic or foundational technical training
Strong understanding of how software engineers, data scientists, AI practitioners, and architects build expertise over time, including applied learning, practice based models, and mentorship
Ability to translate technology strategy into concrete skill priorities and learning interventions
Proven track record of connecting learning strategy to measurable business and engineering outcomes
Highly effective people leader with experience leading senior, multidisciplinary teams in complex, global, matrixed organizations
Exceptional stakeholder influence and communication skills, with the ability to engage credibly with senior technologists and executives

Job Responsibility

Define and lead a multi year global strategy for data, engineering, and technology skill development—from foundations to advanced, expert level capability building
Establish a cohesive, persona based learning ecosystem for technical talent (e.g., software engineers, data scientists, ML engineers, platform engineers, architects), aligned to real role expectations and progression
Maintain a strong external and forward looking perspective on how AI, cloud, data platforms, modern engineering practices, and emerging technologies are reshaping technical roles and skill requirements
Ensure learning experiences go beyond awareness or basic proficiency, enabling deep technical mastery, applied problem solving, and real world execution
Partner with senior technologists and engineering leaders to define what “good” and “great” look like at advanced levels, and translate that into credible learning pathways
Oversee the evolution of technical academies, curricula, credentials, and hands on experiences that build elite level capability
Serve as a trusted thought partner to Technology leadership on how technical skill development drives engineering outcomes, productivity, innovation, and platform resilience
Ensure all major initiatives are explicitly tied to business relevant outcomes, such as speed to proficiency, quality, reliability, rework reduction, and innovation throughput
Partner closely with Talent, Workforce Planning, and People Analytics to align skill investments to priority roles, platforms, and future capability gaps
Lead the end to end portfolio across data, engineering, AI, and technology learning, with clear ownership, prioritization, and sequencing

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

New

Senior Machine Learning Engineer, Rider

The Aura team powers a real-time ML engine personalizing the booking experience ...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics or related field
3+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
Strong problem-solving skills, with expertise in ML methodologies
Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines
programming languages such as Python, Spark SQL, Presto, Java, Go

Job Responsibility

Defining and driving ML solutions for key strategic problems in the space of product recommendations and merchandising: help riders find and complete rides with the right products, understanding their ride context and modeling their intent while attending to Uber’s business goals, marketplace conditions and efficiencies
Provide technical leadership to a passionate, experienced, and diverse engineering team
Manage project priorities, deadlines and deliverables and design, develop, test, deploy and maintain ML solutions
Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough & precise monitoring, and applying model debugging & interpretation techniques
Partner with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutions

What we offer

Bonus program
equity award
401(k) plan
various benefits

Fulltime

New

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations 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

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

Principal Tech Lead Manager, Image Generation

We are hiring a Principal Tech Lead Manager to own and grow Copilot's image gene...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's degree or PHD or equivalent experience in Computer Science, Applied Math, Statistics, or a related field
5+ years of industry experience in applied ML, AI product engineering, or related disciplines
1+ years managing a team of engineers or data scientists
Demonstrated experience shipping production AI or ML systems at scale
Prior experience leading or mentoring engineers, including at formal tech lead and senior IC responsibilities
Hands-on experience building evaluation frameworks or quality systems for AI/ML products
Track record of driving measurable quality or performance improvements through systematic iteration
Direct experience with image generation models (diffusion models, GANs, multimodal models, etc.)
Experience building and owning hillclimbing infrastructure for generative AI

Job Responsibility

Define and own the end-to-end technical roadmap for Copilot image generation — from prompt understanding and model integration to evaluation, quality, and reliability
Establish architectural best practices for image generation pipelines, including prompt conditioning, safety filtering, multimodal grounding, and user personalization
Partner with research, product, and infrastructure teams to translate long-horizon vision into executable milestones
Serve as the primary technical decision-maker for model selection, integration approaches, and evaluation strategy
Lead the integration, evaluation, and launch of new image generation models and capabilities into Copilot surfaces
Drive improvements to first-run success rate, image quality, prompt adherence, and overall user satisfaction with generated images
Build and own the feedback loop from user signals to model and prompt iteration. Close the loop from production data to systematic improvements
Identify and resolve failure modes in image generation including safety gaps, quality regressions, prompt misinterpretation, and accessibility issues
Architect and scale evaluation frameworks purpose-built for image generation: aesthetic quality, safety, prompt fidelity, diversity, and user preference
Lead competitive benchmarking against peer systems, establishing clear metrics to track progress and signal investment areas

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Select Country

Senior Applied Scientist - Partner Tech

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:
February 21, 2026

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Our AI answers in your language

Senior Applied Scientist - Partner Tech

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:February 21, 2026

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Location:
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Job Posted:
February 21, 2026