Data Scientist

Borusan Makina ve Güç Sistemleri

QUALIFICATIONS

We are looking for an 'Data Scientist' for Borusan Machine and Power Systems.

·         Bachelor’s degree in Computer Science, Economics, Statistics, Mathematics or Engineering departments of leading universities. Master’s degree is a plus

·         Minimum 3 years of related job experience

·         Experienced in big data analytics, statistics, predictive modeling, customer behavior analytics, demand forecasting and machine learning

·         Proficiency in at least one of the statistical packages, i.e. SPSS, SAS, R

·         Strong knowledge of database management systems like SQL and big data frameworks

·         Experience in testing hypotheses from raw data sets, drawing meaningful conclusions, and effectively communicating results

·         Ability to work with cross functional teams to translate business issues into potential analytics solutions

·         Knowledge and experience in SAP modules is a plus

·         Basic financial analysis knowledge is required

·         Good command of English

·         Strong and effective communication, presentation and visualization skills

·         Experience in communicating complex concepts with others coming from diverse backgrounds

·         Domain knowledge in similar businesses is a plus

JOB DESCRIPTION

·         Responsible for turning big data into actionable insights

·         Develop and carry out projects that enhance internal user experiences, operational performance, strategic decision making through big data analytics and predictive models

·         Prepare pre and post analyses on operations, campaigns and projects guiding senior management and business owners

·         Integrate data analytics and modeling solutions into daily business operations and ensure effective utilization of such tools, taking account of user needs, technology and operational landscape

·         Ensure maintenance and top performance of implemented analytic solutions, tools, models and implement solutions to sustain quality of data

·         Identify new analytics trends and opportunities to drive the digital transformation and innovation agenda across business functions

·         Be recognized as an expert, mentoring and advising colleagues on value generation through statistical techniques, algorithms and data sources

·         Work in a multi-disciplined environment