Вакансия Senior Data Scientist

Skills

• NLP
• LLM
• AWS
• GCP
• SQL
• Rest API
• Github
• React.js
• Java
• Python
• TensorFlow
• PyTorch
• scikit-learn

Описание вакансии

Job Description:
Our company a trailblazing AI-powered SaaS platform, reshaping the landscape of procurement from a tactical function to a strategic business ally that orchestrates seamless value chains. Our state-of-the-art solution empowers organizations to independently develop procurement strategies with a flexible framework adaptable to their specific needs and contexts.
Redefining traditional category management, our all-encompassing solution takes it to new heights by harnessing the capabilities of AI, fostering extensive collaboration, and integrating data from diverse sources beyond conventional category taxonomy. At our product we are driven by a purpose-centered ethos, dedicated to tackling ESG-related challenges, positioning procurement as a catalyst for positive change rather than merely a cost-cutting entity.
The multitude of prestigious awards and recognitions speaks to our leadership in the AI-driven procurement technology landscape, showcasing our unwavering commitment to innovation and excellence.

Responsibilities:

• Lead AI/DS/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution.
• Drive continuous development of AI/ML functionalities for our SaaS product, prioritizing well-structured, secure, and scalable code, complemented by comprehensive documentation and rigorous testing protocols.
• Initiate the integration of pertinent research findings into our product, particularly in procurement, through experimentation and the creation of solutions like chatbots, forecasts, and decision support systems.
• Utilize your software engineering expertise and business acumen to foster the growth and maintenance of our ML services, guiding all stages of technology development.
• Establish and manage high-quality datasets, alongside developing data pipelines for procurement data processing.
• Collaborate closely with cross-functional teams of software engineers to enact transformative changes within procurement practices.
• Stay informed about the latest advancements in AI/ML technologies and industry best practices, actively contributing insights for continuous improvement.
• Cultivate a culture of learning, knowledge sharing, and team development within our Data Science team.

Required skills:

• Hold a university degree, preferably a PhD, in relevant fields such as Artificial Intelligence, Machine Learning, Data Science, or Computer Science, or possess equivalent industrial experience;
• Demonstrate proficiency in Machine Learning principles and generative models, with an understanding of computational limitations and data privacy considerations;
• Showcase expertise in NLP/LLM, including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques, and anomaly detection;
• Possess knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (e.g., Databases, Data Lakes, Data Warehouses);
• Advocate for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization, with expertise in the Python ecosystem and popular ML libraries/frameworks, including those tailored for LLM. Have experience in Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub), and overseeing end-to-end ML pipelines;
• Previous software development experience and familiarity with our tech stack (React and Java) are advantageous;
• Demonstrate proficient English communication skills, both verbal and written, with a focus on clarity, openness, and professionalism.

Nice to Have:

• Embrace a remote-first work culture, offering flexibility to work from your preferred location within Berlin or nearby areas, either remotely or in a hybrid/onsite capacity at our centrally located office;
• Seize the opportunity to join the team in its early stages, making meaningful contributions to our engineering excellence within an international team and context;
• Occasional business travel within Europe may be required, averaging once per quarter, alongside team-building company events;
• Join a pioneering AI-driven procurement technology startup, contributing to the creation of innovative solutions that significantly impact enterprise customers.