Sr/Expert Data Scientist

NTT DATA Business Solutions combines the power, global competencies and sectoral expertise of NTT DATA Group, one of the world's top 10 IT solution providers with 190 thousand employees, with local experience. The company, which realizes more than 30 thousand projects worldwide every year with more than 10 thousand employees in more than 30 countries and has been transforming trust into value for 34 years, has been operating in Turkey since 2000. 

As a technology service provider that draws its strength from innovation and its team of 2,500 experts in Turkey, it supports end-to-end digital transformation in business processes with its products, services and solutions. It offers technology solutions to its customers in cooperation with many different organizations, including SAP and Microsoft, the pioneers of their sectors. With the special products it develops on a global and local basis, it offers solutions to the specific needs of organizations and sectors, and provides application development services. NTT DATA Business Solutions Turkey, which extends its country-based technology projects regionally and globally, offers managed services in areas such as support, technology modernization, application management and outsourcing.

Growing its customers' businesses with technology, NTT DATA Business Solutions Turkey develops next-generation technologies for a sustainable future through its innovation center and R&D Center approved by the Ministry of Industry. It produces innovation in line with the needs of organizations in Turkey and transforms business ideas into products by working on new technologies in the fields of sustainability, artificial intelligence, IoT, blockchain and robotic process automation on cloud platforms. With more than 400 expert consultants in the Customer Experience and Support Center, it provides 24/7 application support services to hundreds of organizations on 5 continents.Collaborate with People & Culture team and other departments to understand business objectives and identify key metrics to measure success.

QUALIFICATIONS

• Graduated from Engineering, Mathematics, Statistics or other related departments,

• Experienced in Generative AI, Data Science, Artificial Intelligence, Machine Learning, Deep Learning, 4+ years of experience preferred,

• Having knowledge and experience in Statistics, Optimization, Machine Learning, Deep Learning and Artificial Intelligence algorithms,

• Having provable programming experience and actively using one or more of Python, R,

• Having knowledge and hands on experience in Generative AI,

• Proficiency in SQL - able to write structured and efficient queries,

• Experience with version control,

• Knowledge of MLOps concepts,

• Having knowledge and experience about the big data ecosystem (Hadoop, Spark, Hive, etc.) is a plus,

• Familiar with or using cloud platforms such as Microsoft Azure, AWS, GCP is a big plus,

• Master’s or Ph.D. would be a plus,

• Creative and innovative problem-solving skills,

• Solution and result-oriented working as a principle,

• Familiarity with Generative AI concepts and prompt engineering techniques,

• Knowledge of Large Language Models (LLMs), including a solid understanding of their theoretical foundations, practical applications, and specialized architectures such as Retrieval-Augmented Generation (RAG),

• Good team player, and analytical mind,

• Good command of spoken and written English,

• Curious about new technologies and open to learning,

• Passionate to think and research analytically.