Warszawa, mazowieckie
Data Scientist
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, Optimisation, 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 optimise 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.
- are familiar with Data Engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation, including automating data pipelines
- Demonstrate strong business acumen and ability to understand business problems, formulate hypotheses and test conclusions to influence solution design
- 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 design to react to client feedback and demonstrate rapid progress
- Expand partnerships at all levels of the client organisation to identify new opportunities for data science applications
Are you craving to learn more? Prepared to solve some of the world’s most unique challenges? And ready to shape the future for millions of people? If so, then it’s time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It’s time to define your career.
Requirements:- Solid experience as a Data Scientist with a deep understanding of Statistics and statistical practices
- At least 2 years of experience with identifying data sources, transforming data, etc.
- At least 2 years in a client facing role, including facilitating client discussions and problem framing
- Experience with a Data Science Programming language, such as Python or R
- Experience writing applications to visualize data using Opensource tools such as Shiny
- 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
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