Job Description: We are seeking a skilled and innovative Data Scientist with over 3 years of experience to join our team. In this role, you will work on deriving actionable insights from complex datasets, building predictive models, and collaborating with cross-functional teams to solve real-world problems. Your contributions will directly impact strategic decision-making and drive business success. Key Responsibilities: • Analyze large datasets to identify trends, patterns, and actionable insights to support business objectives. • Build, train, and deploy machine learning models to solve problems in areas like prediction, classification, and optimization. • Collaborate with business stakeholders to define key performance indicators (KPIs) and translate business challenges into analytical projects. • Conduct exploratory data analysis (EDA) to understand data structures and quality issues. • Design and implement data pipelines for preprocessing, feature engineering, and automation. • Develop interactive dashboards and visualizations to communicate findings effectively to technical and non-technical audiences. • Perform A/B testing and statistical analysis to validate hypotheses and measure the impact of initiatives. • Ensure the scalability, reliability, and security of data science solutions in production. • Stay updated with the latest trends and best practices in data science, machine learning, and AI technologies. • ​Document methodologies, processes, and results to ensure knowledge sharing and reproducibility. Requirements • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. • 3+ years of experience in a data science role. • Proficiency in programming languages such as Python, R, or SQL. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). S • Strong analytical and problem-solving skills with expertise in statistical analysis. • Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib). • Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. • Experience with big data tools and technologies (e.g., Hadoop, Spark) is an advantage. • Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders. Benefits • Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies. • Tech-First Culture: Join a team where engineering is at the core — we prioritise clean code, scalability, automation, and continuous learning. • Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life. • Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence.