As a Data Scientist at Nawy, you will play a key role in leveraging data science techniques and machine learning algorithms to solve complex business problems and drive strategic decision-making. You will work closely with cross-functional teams to identify opportunities for data-driven solutions, develop predictive models and algorithms, and deliver actionable insights that drive business value. The ideal candidate will have a strong technical background, extensive experience in data science and machine learning, and a proven track record of delivering impactful solutions in a business setting.

• Lead and manage end-to-end data science projects, from problem formulation and data exploration to model development, evaluation, and deployment
• Collaborate with business stakeholders to understand their needs and objectives, and translate them into data science solutions that drive business value
• Design and develop predictive models, machine learning algorithms, and advanced analytics solutions to solve complex business problems
• Perform exploratory data analysis and feature engineering to extract insights and identify patterns in the data
• Evaluate and benchmark machine learning algorithms and techniques to identify the most effective approaches for a given problem
• Work closely with data/dev-ops engineers to ensure the scalability, reliability, and performance of data science solutions in production environments
• Communicate findings and recommendations to stakeholders in a clear and compelling manner, and collaborate with them to drive adoption and implementation of data-driven solutions
• Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and proactively identify opportunities to apply new techniques and technologies to business problems

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work.
• Proven experience as a Data Scientist or similar role, with at least 3 years of experience in a same role
• Strong technical skills in data analysis, machine learning, and statistical modeling, with proficiency in Python, R, or other programming languages
• Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch
• Solid understanding of data science concepts and techniques, including supervised and unsupervised learning, classification, regression, clustering, and time series analysis
• Proven track record of delivering data-driven solutions that have positively impacted business outcomes
• Excellent problem-solving skills and attention to detail, with the ability to think critically and analytically
• The ability and willingness to learn new technologies on the job.
• Self driven, highly motivated, fast learner, ambitious and creative.