Senior Data Scientist

Ready to become a Wriker?

Wrike is the leading collaborative work management platform with a vast amount of data comprising work item content, entity relations, complex account processes, user interactions, and user input, as well as business data including lead and customer lifecycle and marketing efforts. Data Science and Machine Learning (DS/ML) departments are to analyze and transform all of it to create data-driven solutions that will give users valuable insights, improve productivity and user experience, and automate routine repetitive work, help us make better decisions and improve efficiency of our business.

More about Your team

We are hiring to two data science teams, one working on improving product, second the business. As a Data Scientist at Wrike, you will play a critical role in your respective team by leveraging Machine Learning and other data-driven approaches. You will not only work on specific product features but also contribute to the creation of foundational, low-level models and machine learning systems that empower all intelligent functionalities of our product or support decisions. You'll work in close collaboration with other departments across the organization, participate in the initial research of potential features and systems required for them, set up numerous hypotheses validations, and drive them to product realization.

Project highlights

As a new Data Scientist joining our team, you will be involved in exciting projects. We already have smart ML-based features (like project risk, personalized search, subtasks extraction etc.), but we want to create a truly intelligent and AI-centric product.

Our plans include developing new product features using both usual ML and LLM (i.e. smart resource allocation, project structure creation), an AI assistant to connect these features. We plan to make core ML systems the foundation for the product's intelligence. Your expertise will be crucial in achieving these goals and shaping our company's future.

On the business side we support lead prioritisation, customer lifecycle management and help marketing optimise campaigns. Our goal is to improve our current set of models and identify new areas where ML and LLM can be applied to help us make smarter decisions or save time.

How we work

• Python
• Scikit-learn, lightgbm, tensorflow, keras, shap, optuna, etc.(heavily depends on a specific project)
• Google Cloud Platform (Vertex, BigQuery, Cloud storage)
• Langchain, OpenAI APIs
• flake8, black, mypy, Pydantic
• pandas, numpy, SciPy
• Dagster, mlflow

How You’ll make an impact

• Developing new and enhancing existing data-driven solutions through ML model training, application of pre-trained models or APIs, and more.
• Being engaged in the entire data-driven development process, from analyzing requirements to launching features or systems into production (with the assistance of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, developers, and/or business stakeholders
• Applying best software engineering practices to build a reliable codebase
• Conducting code reviews to ensure quality.
• Working in agile environment and presenting the results of your work on regular sprint reviews

You will achieve your best if you have

• 2+ years of experience in Data Science and Machine learning
• Confident statistical and machine learning skills
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing ML solutions for production usage
• Proactivity in self-improvement of skills and knowledge.

You will stand out with

• Experience in ML solutions related to social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation.
• NLP experience.
• Experience in creating core ML systems which are foundational to the product and are utilized in multiple parts.
• Familiarity with llms, llm-based APIs, prompting techniques, metric-driven development of prompt-based features, and related topics.
• Experience in building complex multipart and multistep ML and llm-based systems.
• Conversational systems experience, including llm-based.
• History of solving diverse set of problems using ML
• Background in classical software development and architecture.

Perks of working at Wrike

• 25 days of holidays
• Cafeteria bonuses (Benefit plus)
• Meal vouchers (220CZK/working day)
• Sick leave compensation
• Private healthcare membership (Canadian Medical)
• Pension plan
• Mobile tariffs
• „Lítačka“ transportation annual coupon reimbursement
• Multisport card
• Parental leave

What's next?

• A 30 minute screening interview with a recruiter
• A Technical interview (1-2 hours) alongside two of our senior Data Scientists
• A Cultural interview (1.5 hours)

Your recruitment buddy will be Marketa Rezacova, Lead TA Representative.

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