IBM Data Scientist (m/f) in Berlin, Germany

Driving innovation for our clients is the main mission of our consulting business unit IBM Global Business Services. With major transformation underway around Cognitive Computing, Big Data & Analytics, we are looking for consultants to embrace this opportunity with us. As Data Scientist you will be part of our European Cognitive Business Decision Support consulting team where you will take responsibility for providing methodological and technical subject matter expertise around advanced and large-scale data analysis. This will comprise identification and assessment of advanced analytics use cases; application of statistical approaches to analytical problems; rapid execution of analyses on structured and unstructured data incl. data preparation, analytical modelling and evaluation; as well as advisory on the integration of advanced analytics approaches in larger analytical architectures. You’ll likely have a BSc/ MSc or PhD degree in a relevant quantitative field (such as statistics, operations research or computer science). In addition, you’ll have industry experience as consultant, analyst or research scientist and you’ll be used to working with client business functions on various levels. You’ll have knowledge in relevant advanced analytics methods such as mathematics, statistics, data mining, machine learning, and/or operations research. At the same time, you’ll have a good understanding of business challenges in the industries you have worked in and you are able to explain analytical insights to a non-technical audience. Your key skills include:

  • Quantitative and analytical expertise that covers statistics, machine learning / data mining, experimentation methodology

  • Hands-on experience in leading advanced analytics tools (e.g. R, SPSS, SAS or MATLAB)

  • Hands-on experience in conducting analyses on unstructured as well as structured/ semi-structured data (including appropriate data pre-processing using e.g. SQL and programming/ scripting languages such as Python, Java, Scala)

  • Experience with large-scale Big Data analytics tools (e.g. Apache Hadoop Ecosystem, Apache Spark, Apache Mahout, Apache Flink and/or Apache Kafka) will be a strong advantage

  • Experience in advanced analytics use cases in one or more dedicated industries

  • Strong communication skills and business acumen, including a feeling for data visualization and experience in presenting complex information to business stakeholders in a compelling way

This is an environment where networking and people skills are extremely important: we’re looking for people who will forge their own relationships, both internally and externally. Do this and you’ll have access to a range of projects and clients unlike any other. All candidates must be fluent in English and German. IBM is market leader in the data & analytics space. We offer a dynamic, innovative and international environment which is fueled by projects with leading clients, unique capabilities such as IBM Research & Development and IBM Watson, and a growing ecosystem of partnerships such as those with Apple and Twitter. If you think you have the skill and the attitude to change the way that business is conducted – IBM is the place for you and will offer you numerous opportunities for growth across the company.This job is posted by IBM Deutschland GmbH and will be based at one of these locations: Hamburg, Berlin, Cologne, Duesseldorf, Frankfurt a. M., Ehningen near Stuttgart or Munich.

  • Bachelor's Degree in Statistics, Operations Research, Computer Science or related fields

  • At least 2 years of experience in applying Statistics/ Data Mining/ Machine Learning methods

  • At least 2 years of experience in conducting analytics on structured and unstructured data

  • At least 2 years of experience in advanced analytics tools (such as R, SPSS, SAS or MATLAB)

  • Experience in Relational Databases/ SQL

  • Experience in data processing using Java, Python or Scala

  • At least 2 years of experience in a consulting or analyst role

  • English: Fluent

  • German: Fluent

Global Services

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