Lead Data Scientist (m/f) at IBM Deutschland (Berlin, Germany)

Do Your Best Work Ever.Lead Data Scientist (m/f)Locations Hamburg, Berlin, Cologne, Duesseldorf, Frankfurt a. M.,
Ehningen near Stuttgart or Munich.

IBM Global Business Services (GBS) is the world’s largest consulting services organization and leading digital reinvention partner for clients across all industries. Through our Artificial Intelligence consulting practice, we cover the complete process chain from strategy consulting through to the design, implementation and operation of innovative, intelligent solutions with a mission to re-imagine what our clients can achieve with Artificial Intelligence and Data Science.
 
As Lead Data Scientist in our Artificial Intelligence Practice for the DACH market, you will take a senior technical position within an interdisciplinary, highly motivated and growing team of Industry Consultants, Data Scientists, Cognitive Computing Experts and Solution Architects.
 
Your Tasks

• You will be responsible for providing technical and methodological direction for complex Data Science projects. This includes the definition and analysis of client use cases, the design of statistical models and algorithms to deliver high-value insights, the rigorous quantitative evaluation and the effective communication of results. It also includes technical guidance for the production-level implementation of solutions on large volumes of structured and unstructured data.
• You will be responsible for providing ongoing thought leadership around emerging technologies and concepts in the field of Data Science as well as for attracting and guiding Data Science talents in the practice.
• You will be responsible for transferring innovations from IBM Research and other IBM business units into consulting engagements as well as for driving the development of reusable assets.
• You will be routinely responsible for shaping new consulting engagements from initial opportunity assessment through to sales and delivery.

Your Benefits

• Competitive compensation and employee benefits
• Extensive development opportunities in a leading technology company on technical and/or executive career paths.
• Dynamic, innovative and international environment fueled by a multitude of projects with leading enterprise clients.
• Access to cutting-edge innovations and to a global network of accomplished technical leaders backed by IBM Research, the largest private sector research organization worldwide.

Your Profile

• BSc, MSc or PhD degree in a relevant quantitative field (e.g. Statistics, Mathematics, Computer Science).
• Multiple years of professional experience as Data Scientist in consulting or analyst roles. Proven ability to understand complex processes and business problems in different industries. Successful track record of bringing Data Science use cases into production.
• Deep understanding of theory and application of state-of-the-art Machine Learning methods including recent developments in the field of Deep Learning.
• Multiple years of hands-on experience in conducting analyses on structured and unstructured data using leading tools and frameworks (e.g. Python, Scala, R, SPSS, SAS, MATLAB).
• Strong understanding of modern data management technologies and concepts (e.g. Relational Databases / SQL, NoSQL, Apache Spark, Apache Flink, Apache Kafka).
• Strong communication skills and business acumen, including a feeling for data visualization and ability to present complex insights to senior business stakeholders in a compelling way.
• Experience in building and leading teams.

This is an environment where passion, eminence and people skills are extremely important: were looking for colleagues who will build relationships, drive business outcomes, and scale team capabilities. Do this and youll have access to a range of opportunities like nowhere else.
 
All candidates must be fluent in English and German. We expect Flexibility and Readiness for Business Travel (Based on project requirements up to 75%-100% per week). This job is posted by IBM Deutschland GmbH.
 

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