компания "kaz minerals" by joining kaz minerals as a data scientists, you will be: solving the most complex and practical tasks of the metals and mining industry, the key economy sector of kazakhstan, with immediate impact on operations. the industry has been accumulating enormous operational data, but lagging behind using these data for an educated decision making based on the power of advanced analytics and artificial intelligence. taking a part in building a digital and analytics arm of the most advanced m&m company in kazakhstan, creating impact-oriented culture without bureaucracy. kaz minerals is aiming to become the most innovative and digitally driven mining companies in kazakhstan, and have started the development of artificial intelligence solution to optimize its production. the company plans to build the team of best data scientists, who would like to lead this direction. implementing advanced analytics solution might require some business trips to the operations sites in eastern and northern parts of kazakhstan, where you will be working with the experienced international and local miners and metallurgists. job duties: develops complex models and algorithms that drive innovation throughout the organization. this may include improving on-time performance, network planning, etc. conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance. provides coaching and insight on analytic approaches and can objectively weigh trade-offs of different analytic methods. guide data engineering efforts to ensure alignment with future data science needs. provides guidance to business leaders and data engineering function highlighting data integrity risks. collaborates with analytics engineers to implement and deploy scalable solutions. provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. skills and qualification requirements bs/ms in computer science, statistics, economics, mathematics, ops research or related technical discipline 0.5-1+ year of experience as a data analyst and/or data scientist knowledge of machine learning, statistics, optimization, or related field. experience with python is required. experience with sql, pandas, numpy, scipy, scikit-learn, xgboost experience with bi and visualization tools is a plus experience in the metals and mining industry is a plus professional attitude and service orientation; superb team player good written and verbal communication skills along with strong desire to work in cross-functional teams
Адрес
Казахстан Алматы