Data Scientist (AI Project)

The Position We are seeking a Data Scientist to join our AI team and drive the development of intelligent solutions that leverage machine learning, deep learning, and advanced analytics. You will play a key role in designing, building, and deploying AI models that solve complex business problems, while collaborating with cross-functional stakeholders. Responsibilities Model Development & Deployment Build, validate, and optimize machine learning and statistical models suited for real-world data. Work with time-series, tabular, or other structured/unstructured data depending on project needs. Implement scalable data pipelines and model deployment strategies. Data Exploration & Analysis Collect, clean, and transform datasets of varying complexity. Perform exploratory analysis to uncover trends, patterns, dependencies, and anomalies. Apply appropriate statistical and analytical techniques to derive meaningful insights. AI Research & Innovation Evaluate and experiment with new algorithms, tools, and modelling approaches. Prototype new concepts to evaluate feasibility and potential impact. Collaboration & Leadership Partner with engineers, product managers, and domain experts to define AI project requirements. Translate analytical findings into actionable insights for colleagues with varying technical backgrounds. Stakeholder Communication & Presentation Engage with business stakeholders to understand requirements and translate them into data-driven solutions. Present complex technical findings in clear, concise, and compelling ways tailored to different audiences. Build dashboards, reports, and visualizations that effectively communicate insights and model performance. Requirements Expertise: 3+ years of professional experience in data science or applied machine learning ; Strong proficiency in Python and scientific libraries such as: pandas, NumPy; scikit-learn; TensorFlow or PyTorch; matplotlib, seaborn, plotly, or similar libraries for visualization; Would be a plus: Hands-on experience with big data processing, collaborative analytics, and ML model lifecycle management (preferably with Databricks); Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools; Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field. Soft Skills: Fluency in English (spoken and written); Strong problem-solving and analytical mindset; Excellent communication and presentation skills for engaging with stakeholders and executives; Ability to explain technical concepts to non-technical audiences; Ability to work independently and lead projects end-to-end.