Senior Data Scientist

Навыки

• Agile
• AI-инструменты в работе
• Azure
• BigQuery
• XGBoost / LightGBM / CatBoost
• CJM / JTBD
• Коммуникация

О компании и продукте

• 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.

Задачи

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

Требования

• 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

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