Data Scientist

We’re looking for a Data Scientist with strong expertise in machine learning to join our growing team and lead the development of models that power innovation across industries. This is a hands-on role where you’ll be working at the intersection of data, modelling, and technology - designing, building, and deploying machine learning models that solve complex business challenges. What You’ll Do: Design, develop, and deploy machine learning models to solve predictive, classification, or optimization problems Partner with product, engineering, and business teams to identify opportunities for ML applications Analyze large and complex datasets to extract actionable insights Build scalable data pipelines and model training workflows Evaluate and monitor model performance in production environments Stay up-to-date on the latest ML research and tools to continuously improve capabilities Communicate results and recommendations to stakeholders in a clear and compelling way What You Bring: 3+ years of experience in a Data Science or ML-focused role Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch) Strong grasp of machine learning algorithms (supervised, unsupervised, NLP, time series, etc.) Experience with data wrangling, feature engineering, and model evaluation Solid understanding of statistical methods and hypothesis testing Experience working with large datasets and cloud platforms (AWS, GCP, or Azure) Familiarity with MLOps tools and practices (e.g., MLflow, Airflow, Docker, CI/CD pipelines) is a plus Excellent communication and collaboration skills Nice to Have: Experience in deploying ML models to production Background in deep learning, NLP, or reinforcement learning Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly) Experience working in an Agile environment or with cross-functional teams

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