Data Scientist / Senior Machine Learning Engineer

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About this role

Data Scientist / Senior Machine Learning Engineer EG-Cairo, Egypt (Al Emdad & Al Tamween) Position: Data Scientist / Senior Machine Learning Engineer Job Description: Position Overview: As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company. Key Responsibilities: 1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains. 2. Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns. 3. Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results. 4. Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency. 5. Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services. 6. Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth. 7. Research and Innovation: Stay up-to-date with the latest advancements in the field

Read the full description at arrow.wd1.myworkdayjobs.com. FewerJobs shows a source-linked preview and links to the original posting.