Senior Data Scientist

Job description

Main Responsibilities: Develop and implement machine learning models to address complex business challenges. Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation. Work with large-scale datasets, performing data wrangling, transformation, and optimization. Collaborate with cross-functional teams to integrate AI-driven solutions into business processes. Utilize cloud platforms (AWS, Azure, GCP) and MLOps practices for scalable model deployment. Communicate technical findings and insights effectively to non-technical stakeholders. Stay updated on advancements in AI, machine learning, and data science to drive innovation. Requirements: 5+ years of experience in Data Science, with a strong track record in applying ML techniques to real-world problems. Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, probability, and mathematical modeling. Experience with cloud platforms (AWS, Azure, GCP) and deploying ML solutions at scale. Strong problem-solving and analytical skills, with the ability to create innovative AI solutions. Excellent co...