Data Scientist Engineer

Job description

Company Description Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. For 30 years, we have always been guiding our customers on the next tech wave . Devoteam has guided organizations through the Internet and cloud. The next revolution? AI. With 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe At Devoteam, tech is in our DNA , and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change. Job Description Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client. Key Responsibilities: Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. Data Management: Gather, prepare, and manage data for analysis. Model Research: Investigate and select appropriate machine learning models. ML Modeling: Develop and refine machine learning models. Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team. Your Role: Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. Develop predictive and machine learning models tailored to client needs. Advise clients on translating their business requirements into technical solutions using machine learning techniques. Stay updated on the latest trends in machine learning and AI, sharing insights with clients. Act as a strategic partner to client Data Science teams, helping them navigate their challenges and aspirations. Inspire clients with new data-driven opportunities. Bring best practices in Git, DevOps, and CICD to enhance client data platforms. Collaborate with Data Scientists, Data Engineers, and Business Stakeholders. Represent Devoteam both online and offline, showcasing our expertise. Qualifications About You: Reside in Belgium. (Mandatory) Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. Minimum 3 years experience in a similar role. Have a solid understanding of various machine learning models (e.g., SVM, RNN, Deep Learning) and their applications. Possess foundational knowledge of Data Science, including sampling techniques and evaluation metrics. Proficient in SQL and Python. Experience with Spark and/or cloud ecosystems is a must. Experience with Databricks is real asset Eager to learn and passionate about data and machine learning technologies. Excited to join a dynamic and growing team. Fluent in English; proficiency in Dutch or French is mandatory Sponsorship for a work permit not possible Additional Information Why choose us? Thrive in a fast-growing, entrepreneurial environment Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients Connect with extraordinary talents in a collaborative and diverse culture Enjoy a healthy work-life balance in an inspiring, eco-friendly workplace Competitive compensation package At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration – with a fun and supportive environment that empowers you to innovate, grow, and succeed in the fast-paced world of Cloud, Data & AI. Videos To Watch