Senior Data Scientist İş İlanı
İşveren Hakkında
QUALIFICATIONS AND JOB DESCRIPTION
We are looking for a 'Senior Data Scientist' for Artificial intelligence and Robotics Solutions Function of Borusan Cat
QUALIFICATIONS
· Bachelor’s degree in Computer Science, Economics, Statistics, Mathematics or Engineering departments of leading universities. Master’s degree is a plus
· Minimum 5 years of related job experience
· Experienced in big data analytics, statistics, predictive modeling, forecasting, machine learning and deep-learning algorithms
· Fluency in coding using Python or R and experience in statistical packages and ML libraries (e.g. numpy, pandas, scikit-learn, spark mllib) In addition, proficiency in at least one of the statistical packages, i.e. RapidMiner, Knime SPSS, SAS.
· Experience in model development solutions on Cloud Platforms (AWS, Azure, etc) is a plus.
· Strong knowledge of database management systems like SQL and big data frameworks.
· Ability to work with cross functional teams to translate business issues into potential analytics solutions
· Knowledge and experience in SAP modules are a plus
· 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
· Develop advanced analytic techniques and algorithms that drive innovation throughout the organization
· Develop and carry out projects that enhance internal user experiences, operational performance, strategic decision making through big data analytics and predictive models
· Integrate data analytics and modeling solutions into daily business operations and ensure effective utilization of implemented analytic solutions, tools, models, taking account of user needs, technology and operational landscape
· 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
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