Senior Data Scientist
Wrike is hiring a Senior Data Scientist in Prague, Czechia. Level rates it ; you can apply on Wrike.
Level's read on this job
- Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
- Tools and skills the posting cites include OpenAI, Claude and Gemini.
- Level classifies it as a senior role.
- Level lists 65 other open roles at Wrike.
AI in this role
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. 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.
Benefits & Perks:
- 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
What’s Next?
- Introduction Call with a Recruiter
- Technical interview
- Cultural interview
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work modeWrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful.Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.How we rate this
Senior Data Scientist at Wrike rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Gemini hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, OpenAI, Claude, Gemini, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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