Professional level of the candidate: any. The more important is experience in the steel industry.
— Good knowledge of the steel industry (!!!) perspective and ability to translate business needs into data;
— Descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, optimization, data visualization, segmentation analysis;
— Experience with Python, SQL, Amazon SageMaker, R, Matlab.
— Analytics skills;
— SPSS IBM, Tableau, PowerBI, Alteryx, Qlikview, Rapid Miner, SAP HANA.
— Possibility to work remotely;
— Competitive salary based on the results of the interview;
— Challenging tasks and professional growth;
— Paid vacations, days off and sick leaves;
— Professional workshops and seminars attendance (50% compensation);
— Any sports activities (50% compensation);
— IT Club bonus program;
— Relocation assistance to nonresidential job seekers.
— Performs research, analysis, and modeling on organizational data;
— Ensure Analytics model quality assurance and validate them (peer validation);
— Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions;
— Define model monitoring criteria;
— Provides findings and analysis for use in decision making;
— Develop Analytics best practices (models, standards, tools);
— Manage Analytics project pipeline and track Analytics impact on business.
Our client’s business divisions manufacture long and special steel products for the agriculture, energy, industrial, automotive, and manufacturing markets. They stimulate the economy through our network of recycling operations and mills, operating ten mills in the U.S. and three in Canada. Their mills utilize efficient and clean production practices, including the use of electric arc furnace (EAF) technology. This makes their steel one of the greenest choices available.
They are looking for a Data Scientist to join their team. You will be crucial in designing, building, and implementing analytical solutions. You will be working closely with project teams and you will act as a Data Science & Advanced Analytics expert. By having an overall role you will help drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.