IBM Data Scientist (f/m/x)

Location: Wien, W

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Have you heard about the IBM Garage? It's a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation. We use Enterprise Design Thinking, our industry-leading IBM Garage Methodology and IBM's multidisciplinary experts in full speed from the start. We design, develop, test, and deliver solutions. Startup speed. Enterprise scale. We apply user-centric approaches to ensure all features add value for the user and achieve desired client impact.

Your Role and Responsibilities
As a Data Scientist working at the IBM Garage, you will be the Subject Matter Expert on Data and AI Statistical models and how they apply to business problems.
Led by a solution architect, you will advise on and help implement models in Machine Learning, Optimization, Neural Networks, and Artificial Intelligence such as Natural Language, and other quantitative approaches.
You will act as a key contributor partnering with clients to understand business problems and propose solutions.
You will deliver meaningful insights and predicts emerging trends to inform business solutions that optimize client value.
You will contribute to co-creation of rapid proofs of concept and minimally viable solutions that demonstrate business value, leading to client investment in strategic solutions.

To be successful in this role you:
  • Demonstrate strong business acumen and ability to understand business problems, formulate hypotheses and test conclusions to influence solution design
  • Are familiar with data science practices from working in code notebooks, building, validating models, and deploying models via APIs into applications or workflows, and monitoring & retaining models.
  • Are able to create machine learning pipelines and train models.
  • Are familiar with Data Engineering techniques (gather, prepare, cleanse, and transform client data for analysis and AI automation, including automating data pipelines)
  • Leverage a variety of structured and unstructured data sources, analytics, AI tools, and programming languages to derive meaningful data insights (e.g., Python, R, Spark, TensorFlow, Jupyter, etc.)
  • Possess relevant industry and/or business domain knowledge such as Finance or Health Care which you will apply to shape solutions
  • Work in an Agile fashion, iterating on the solution to react to client feedback and demonstrate rapid progress
  • Expand partnerships at all levels of the client organization to identify new opportunities for data science applications

Minimum Salary based on Austrian market ranges: EUR 45.500,- p.a. Overpayment is possible based on the candidate's education and experience.


Required Technical and Professional Expertise
  • Graduate degree in computer science, statistics, information systems or another quantitative field
  • At least 4 years experience in programming skills in Python, R, Scala or Java (preferred Python)
  • At least 4 years as a Data Scientist with a deep understanding of Statistics and Probability
  • At least 4 years of experience in the field of machine learning (data ingestion, feature engineering, modelling including ensemble methods, predicting, explaining, deploying and diagnosing over fitting)
  • At least 3 years of experience in applying supervised, unsupervised and semi-supervised learning techniques
  • At least 2 years of experience in deep learning and neural nets
  • At least 2 years in a client facing role (communicating effective with line-of-business end users and being used to lead client discussions)
  • Experienced with applications to visualize data using open source tools such as Shiny
  • Fluent in German and English language

Preferred Technical and Professional Expertise
  • Academic training in a quantitative discipline and/or a specialized degree in data science or analytics
  • Understanding of Analytics Life Cycle and / or Crisp DM method and practices
  • Experience with RESTful APIs
  • Demonstrable experience in private and public Cloud
  • Experience in developing and delivering appropriate analytic and/or machine learning models to achieve business goals

About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company’s Global Markets organization is a strategic sales business unit that manages IBM’s global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients’ growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

Your Life @ IBMWhat matters to you when you’re looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBMIBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

Location StatementIBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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