Senior Applied Scientist Job at Zalando Sverige (Berlin)

Senior Applied Scientist

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. H...

Location

Portugal , Lisbon

Salary:

Not provided

PagerDuty

Expiration Date

Until further notice

Requirements

Graduate degree in computer science, statistics, mathematics, or related quantitative field
7+ years using machine learning and statistical analysis for building data-driven product solutions for large scale systems
Hands on experience in python, SQL and other related tools
Have an entrepreneurial mindset to drive research projects to completion with minimal guidance
Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner stakeholders, other engineers and Product
Experience working with Engineering teams ensuring a timely delivery

Job Responsibility

Build production-grade ML models and AI-powered solutions to business critical challenges across multiple domains on top of PagerDuty’s data infrastructure
Work both independently and collaboratively with other applied scientists, product managers, engineers, and designers to solve complex problems that deliver business value
Influence leadership and stakeholders to drive more data-informed decisions and to identify impactful AI use-cases across our products
Communicate, align and drive interest within the entire organization to be more data driven
Provide guidance, enablement, technical leadership, and mentorship to other members of the organization
Lead research initiatives using generative AI, agents and traditional ML techniques
Proactively recommend improvements and new approaches to ensure continuous improvement across our existing models and services and tackling technical debt

What we offer

Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)

Fulltime

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
4+ years of machine learning experience with strong software engineering skills
Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
Advanced Python programming, SQL, and data manipulation skills
Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
Excellent communication and collaboration abilities
A passion for continuous learning and personal growth in a dynamic work environment

Job Responsibility

Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
Monitor feature and model health, and communicate changes in model decisions
Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
Lead by example to foster operational excellence and transformative change
Expand responsibilities as new products emerge

What we offer

equity and benefits

Fulltime

Senior Data Scientist

Location

Salary:

Not provided

PixelPlex

Expiration Date

Until further notice

Requirements

Strong analytical and problem-solving skills
Data focused applied mathematics (statistical analysis, machine learning)
Understanding of Machine Learning / Deep Learning methodologies, math and tricks
Understanding of data structures and algorithms
RDBMS knowledge
Programming experience: Python and C++ preferred
Experience in production of Data Science projects (3+ years)
Data visualization skills
Advanced Linux user
Familiarity with version control systems (Git, etc.)

Job Responsibility

Identifying business challenges
Using machine learning / deep learning methodologies to address business challenges
Presenting the findings in a clear and informative way
Working in a team and creating solutions to real-life problems
Mentoring junior and middle-level specialists

Fulltime

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...

Location

Germany , Berlin

Salary:

Not provided

FoodLabs & Atlantic Labs

Expiration Date

Until further notice

Requirements

4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
A curious, proactive, impact-driven mindset with strong business acumen
Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
Experience building forecasting models using time-series and probabilistic approaches
Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
Proficiency in SQL and Python with the ability to move from exploration to production
Clear communication and strong product thinking, able to influence decisions and define success metrics

Job Responsibility

Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts

What we offer

28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
1 day of special leave for community service
5 days of paid educational leave
Possibility of unpaid leave
Hybrid working model
Dog-friendly office
Annual training budget of EUR 750
Mentoring opportunities
Constant career development conversations
30 EUR Urban Sports Club grant per month

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

At least 4 years’ experience as a Data Scientist
Strong hands-on NLP and applied ML in industry
Experience deploying Machine Learning algorithms to production
Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Fluent in Python and TensorFlow and/or PyTorch
Experience with Spark development
Pragmatic, data-driven, and business-oriented
Takes full ownership of topics, works autonomously, and is a great team player
Brings a positive mindset: respect and kindness are core values
Enjoys sharing work through internal talks, conferences, or writing

Job Responsibility

Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
Analyze and prepare data, prototype algorithms
Put algorithms into production with Data Engineers and dev teams
Build dashboards to demonstrate algorithm performance and monitor production
Present results at the weekly data science meeting and join team brainstorms
Partner with other teams to refine use cases, user experience, and integration paths

Fulltime

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Bordeaux; Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

At least 4 years’ experience as a Data Scientist
Strong hands-on NLP and applied ML in industry
Experience deploying Machine Learning algorithms to production
Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Knowledge of the latest LLMs is a plus
Fluent in Python and TensorFlow and/or PyTorch
Experience with Spark development
Pragmatic, data-driven, and business-oriented
Takes full ownership of topics, works autonomously, and is a great team player
Brings a positive mindset: respect and kindness are core values

Job Responsibility

Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
Analyze and prepare data, prototype algorithms
Put algorithms into production with Data Engineers and dev teams
Build dashboards to demonstrate algorithm performance and monitor production
Present results at the weekly data science meeting and join team brainstorms
Partner with other teams to refine use cases, user experience, and integration paths

What we offer

Build algorithms that visibly impact 500+ e-commerce/marketplace sites in 40 countries
Work with cutting-edge techniques (multimodal models, LLM fine-tuning, etc.)
Real autonomy and ownership over your projects

Fulltime

Senior Data Scientist

We’re looking for a Senior Data Scientist to lead the evolution of our scoring a...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment

Job Responsibility

Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk
Develop statistical and ML models that translate raw security data into meaningful, calibrated scores
Measure and improve score accuracy, stability, and interpretability
Work with engineers to deploy and monitor models in production environments
Partner with PMs and designers to define success metrics and measure product outcomes
Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities
Build reusable datasets, dashboards, and frameworks for self-serve analytics
Establish best practices for experimentation and data-driven decision making across squads
Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization
Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection)

What we offer

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Fulltime

Senior Data Scientist

As a Senior Data Science you will join a team of highly committed analysts, data...

Location

Germany , Hamburg

Salary:

Not provided

Justtrack

Expiration Date

Until further notice

Requirements

5+ years of experience in applying Data Science, ML and time series analysis in real-life tasks where the projects had measurable business value
Master’s degree in Data Science/Applied Mathematics or a related field
Expert knowledge of Python, SQL, ML frameworks like scikit-learn and know the AWS tech stack well
You have an entrepreneurial and hacker mindset, when there is a tough problem it motivates you to drill deeper
You easily switch between move-fast- and no-margin-for-error-modes
You are able to dive deep into math and explain complex topics in an easy way

Job Responsibility

Drive the development of our data science tech stack by looking for innovative opportunities and steering the implementation by our development team
Hand in hand with our developers you transform recurring analyses into metrics, charts, business related messages and the underlying data storage and pipelines
You will work on ML models to notify our users about detected trends and statistical outliers in real-time
You extract knowledge and actionable insights from noisy, structured and unstructured data
You perform exploratory data analysis to determine correlations and trends
You drill into data from various sources (Redshift, Spark, SQL, Athena, S3, Druid event streams, AWS data pipeline)

What we offer

Regular feedback and our development program support your growth
We support visa
relocation bonus
hybrid setup with 3 core office days, plus flexible working hours
30 vacation days
3 weeks of remote work per year
free access to an in-house gym with lots of different fitness classes
mental health support through our Employee Assistance Program (EAP)
central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks
Participate in regular team and company events, including hackathons and social gatherings

Fulltime

Senior Applied Scientist

Zalando Sverige

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 22, 2026

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Zalando Sverige

Location:Germany , Berlin

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 22, 2026

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Job Posted:
January 22, 2026