Senior Data Scientist

Wrike • Prague • 1d ago

Why This Job is Featured on The SaaS Jobs

This Senior Data Scientist role stands out because it sits at the point where mature SaaS products turn large, interconnected usage and workflow data into product-native intelligence. The remit spans both user-facing AI capabilities and the underlying intelligence platform, signaling work that influences how AI is operationalised across a collaborative work management product rather than isolated experimentation.

For a SaaS career path, the role offers sustained exposure to the full lifecycle that matters in subscription software: translating product requirements into measurable models, shipping to production with MLOps support, and iterating based on monitoring and feedback. The emphasis on LLM-based systems, prompt-driven feature development, and reliable Python codebases aligns with how many SaaS companies are currently building AI features that must be maintainable, observable, and safe at scale.

This position is best suited to someone who prefers applied ML over purely research work and is comfortable collaborating with product owners and engineers to make trade-offs. It will fit a practitioner who enjoys setting evaluation metrics, reviewing code, and working in an agile cadence, while keeping an eye on platform reuse across multiple product surfaces.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English

Standout Qualities:

Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture

Interpersonal skills:

Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level

Our Work Style:

Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

5 Weeks of paid vacation
Sick Leave Compensation
- 5 Paid Uncertified Sick Days
- 2 weeks fully paid w/ medical certificate, additional
- 4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Hybrid Working Model
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus