Have you heard about IBM Client Engineering?
- 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 at 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.
- Data Scientists in IBM’s Client Engineering are part of a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation.
- As part of an entrepreneurial team, you will be the Subject Matter Expert on Data and AI Statistical models and how they apply to business problems.
- Led by a Data Scientist, 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 to a pre-sales team, partnering with clients, and other IBM teams to understand business problems and propose solutions.
- 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.
- You will translate business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge.
- You will deliver meaningful insights and predicts emerging trends to inform business solutions that optimize client value.
To be successful in this role you will need to:
- Be familiar with Data Engineering techniques to gather, prepare, cleanse, and transforms 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
- Take a user-centric approach to design and creates compelling prototypes that lead to transformative change for the client.
- 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 organization to identify new opportunities for data science applications
Client Engineering, we’re a resource for one another, sharing our experiences. We expect you to demonstrate a growth mindset and keep learning – and contribute what you learn back to our practice. And you’ll be part of the IBM Client Engineering ecosystem, read more here:
Required Professional and Technical Expertise:
- At least 10 years as a Data Scientist with a deep understanding of Statistics and statistical practices.
- At least 5 years of experience with identifying data sources, transforming data, etc.
- Experience with a Data Science Programming language, such as Python or R.
- Preferably 3 years’ experience in a client-facing role, including facilitating client discussions and problem framing
As above.
Preferred Technical and Professional Expertise
As above.
IBM