Data Scientist

h3bLet's build the future of AI Data, together /b /h3 pAt Data Wizards, we're focused on 3 things: bData, AI you. /b /p pWe're a small team who genuinely love digging into data that makes a real difference for the companies we work with, and who want to discover how AI and data can help companies out there. /p pbWhy join us? /b Apart from tackling exciting challenges with passionate people in an environment that wants to see you thrive, you'll be part of a young company that keeps its feet on the ground, its eyes on the stars, and believes the best growth comes from the unique magic each Wizard brings. /p pWe are continuously on the lookout for bright data engineers, data scientists, machine learning engineers, AI engineers, and data analysts. But this

job description
is for bData Scientist /b out there feeling the magic in them and ready to spread it /p pbAs a Data Scientist, your mission would include: /b /p ul lipLeading the technical aspects of data science projects, from conception to deployment. /p /li lipDesigning and implementing scalable data science solutions that integrate seamlessly with existing infrastructures. /p /li lipDeveloping and optimizing machine learning models to drive actionable insights and automation. /p /li lipCollaborating with cross-functional teams, including data engineers and business stakeholders, to align technical solutions with strategic goals. /p /li lipTaking ownership of projects, ensuring high-quality deliverables in an agile environment. /p /li lipProviding technical leadership and mentorship to junior data scientists. /p /li lipEngaging in proof-of-concept (PoC) projects and scaling them into production-ready solutions. /p /li lipWorking in cloud-based environments and following MLOps best practices. /p /li lipCommunicating insights and technical solutions effectively to diverse audiences. /p /li /ul br/ pbYou’re a step closer to joining our team if you bring: /b /p pbBackground /b /p ul lipMaster’s degree in Computer Science, Engineering, AI, or a related technical field. /p /li lip4+ years of experience in Data Science, Machine Learning, or AI-driven projects. /p /li lipExperience in diverse industries and solutions, demonstrating adaptability and problem-solving skills is considered as a plus.br/ /p /li /ul pbTechnical Skills /b /p ul lipStrong programming skills in bPython /b and bSQL /b. /p /li lipExpertise in bmachine learning frameworks /b (e.g., PyTorch, TensorFlow, Scikit-learn), statistical analysis and deep learning frameworks (TensorFlow or PyTorch). /p /li lipHands-on experience with bbig data technologies /b and cloud platforms (Azure, AWS or GCP). /p /li lipProficiency with bGit /b for collaborative code management. /p /li lipPractical knowledge of distributed computing tools like bApache Spark. /b /p /li lipExperience deploying ML models and following bMLOps /b best practices. /p /li lipUnderstanding of bdata engineering principles /b to support scalable AI solutions. /p /li lipAbility to design and implement bproof-of-concept (PoC) /b projects and scale them into production. /p /li lipAbility to build clear, actionable dashboards using bPower BI /b or bTableau /b to communicate findings to business stakeholders is a plus. /p /li /ul pbSoft Skills /b /p ul lipbAutonomous Proactive: /b You take initiative and drive projects forward. /p /li lipbCurious Adaptive: /b You embrace learning and thrive in dynamic environments. /p /li lipbSolution-Oriented: /b You balance technical rigor with business impact. /p /li lipbClear Communicator: /b /p /li /ul