Data Scientist / Data Expert

We are searching for a Data Scientist/Data Expert, proficient in AI. This role suits individuals who excel in both independent initiatives and collaborative projects. At COMPUTD, you will engage in a variety of tasks, from in-depth internal development to dynamic client-facing roles, contributing significantly to our AI and data science endeavors.

Responsibilities

• Develop, implement, and refine complex algorithms in AI, with an emphasis on delivering high-quality solutions. NLP knowledge is a plus.
• Employ advanced machine learning techniques to solve intricate data problems.
• Design, prototype, and rigorously test AI models, emphasizing their scalability and efficiency.
• Address sophisticated data quality and architectural challenges.
• Work collaboratively with our team and directly with clients, articulating complex AI concepts effectively.
• Preference for candidates willing to regularly commute to our Geleen office for better team collaboration and client interaction.

Who Are You?

• Holder of a Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field, with several years of relevant experience.
• A track record in machine learning and AI, with the ability to handle complex projects independently.
• A problem-solver with a keen eye for detail and a commitment to excellence.
• A collaborative team player, adaptable to different team sizes and dynamics, with the ability to mentor junior team members.
• Continuously seeking to develop skills and expertise.
• An effective communicator in English; Dutch or German is advantageous.
• Proficient in database architectures, programming languages, and advanced project development methodologies.
• Authorized to work in the EU and capable of regular commutes to our office in Geleen.

Why Work for Us?

• Be involved in diverse, cutting-edge international AI projects.
• Collaborate with an expert and diverse team.
• Develop and implement impactful, intelligent solutions across various AI domains.
• Focus on continuous personal and professional development in AI and data science.
• Thrive in a dynamic, team-oriented start-up environment.
• Engage in team-building activities and a positive work atmosphere.

Technologies We Use:

• Python, R
• Azure, AWS
• SQL, and other database query languages
• PowerBI, Dash, and other data visualization tools
• Version control systems like Git