Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

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