| data science at Remote, Remote, USA |
| Email: [email protected] |
| From: Dilip Kumar, ProcorpSytems [email protected] Reply to: [email protected] Hi, Role: #DataScience Architect Location: 2 weeks Remote & 2 weeks onsite at Ahu Dhabi, UAE Duration: 6+ Months Job Description: Client is seeking a talented and experienced Data Science Architect. As a global leader in consulting, client is committed to leveraging cutting-edge technologies to drive operational excellence, enhance decision-making processes, and optimize business outcomes. Responsibilities: Develop and implement advanced decision optimization models and algorithms to address complex business challenges across various functional areas, including supply chain management, logistics, production planning, and resource allocation. Collaborate closely with cross-functional teams, including data scientists, engineers, business analysts, and domain experts, to understand business requirements, define optimization objectives, and design scalable solutions. Lead end-to-end solution architecture design, from data ingestion and preprocessing to model development, deployment, and monitoring, ensuring robustness, reliability, and performance. Utilize a variety of optimization techniques, including linear programming, mixed-integer programming, constraint programming, and metaheuristic algorithms, to develop innovative solutions that drive efficiency and cost savings. Evaluate and integrate third-party optimization tools and platforms, as needed, to augment internal capabilities and accelerate time-to-market. Provide technical leadership and guidance to junior team members, fostering a culture of continuous learning, collaboration, and innovation. Stay abreast of industry trends, emerging technologies, and best practices in decision optimization, and proactively identify opportunities for improvement and innovation. Communicate effectively with stakeholders at all levels of the organization, presenting complex technical concepts in a clear and concise manner, and influencing decision-making processes. Qualifications: Bachelor's degree in computer science, engineering, operations research, applied mathematics, or related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 5 years of hands-on experience in designing and implementing decision optimization solutions in a corporate or consulting environment, preferably in Energy, Utilities and Asset Management industry. Strong proficiency in mathematical modeling, algorithms, and software packages. Proficiency in programming languages commonly used in data science and optimization, such as Python, R, Java, or C++. Solid understanding of data science concepts and techniques, including data preprocessing, feature engineering, predictive modeling, and machine learning. Email: [email protected] Keywords: cplusplus rlang data science [email protected] |
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| Wed Jul 31 20:55:00 UTC 2024 |