Req ID: 297142

Competitive salary | remote in Germany/Europe

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company's growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

NTT DATA is currently looking for a Senior Data Scientist (f/m/d), remote from Germany/Europe, for our growing team in Europe.

Key Responsibilities

• Working on projects leveraging your expertise in data science, artificial intelligence (AI) and machine learning

• Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction

• Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders

• Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes

• Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered

• Work with data sets of varying degrees of size and complexity including both structured and unstructured data

• Piping and processing massive data streams in distributed computing environments

• Implement batch and real-time model scoring

• Assemble large, complex data sets that meet functional / non-functional business requirements

• Apply business knowledge to analyze data, develop reports and solve problems
• Perform ad hoc analyses of data depending on business needs

• Participate in the analysis and resolution of issues related to information flow and content with data stakeholders

• Several years of relevant professional experience as Data Scientist (or similar)
• Bachelor degree or higher in a relevant field such as computer science, data science, business intelligence, statistics, mathematics, physics, engineering or a related field
• Understanding of structural querying languages (e.g. MySQL, PostgreSQL), data preprocessing languages (e.g. R, Python) and big data processing tools (e.g. Hadoop, Spark)
• Development & implementation of machine learning models (e.g. random forecast, gradient boosting, transformers), experience with NLP & LLM is advantageous
• Familiarity with designing & conducting statistical analysis (e.g. A/B test, Hypothesis test)
• Familiarity with data manipulation and analysis libraries (e.g. Pandas, NumPy)
• Experience with machine learning frameworks and algorithms
• Industrial Machinery & Components domain knowledge - preferable