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. The Data Science and Machine Learning (DS/ML) department is 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.

More about Your team

As a Data Scientist at Wrike, you will play a critical role in product development 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. 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.

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 enhance 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 product 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, and developers
• 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 foundational to the product and 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.
• Background in classical software development and architecture.

Perks of working at Wrike

• Health insurance for you and your family
• SIM card with unlimited internet access for employees (provided during your employment)
• 21 paid vacation days
• 5 uncertified sick days per year
• 10 fully-paid working days of sick leave per year
• School allowance of up to €600 per month (for children at school age)
• Up to 18 weeks of fully-paid maternity leave
• 2 weeks of fully paid paternity leave. Enhanced four weeks of fully paid paternity leave will be available for employees after 6 months of continuous service

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 Denis Smirnov, Lead TA Representative.

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