Client Engineering
1 week ago
**Introduction**
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.
- 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.
- 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 mínimally 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.
**Your Role and Responsibilities**
**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.)
- 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.
**Data Engineer within Client Engineering at IBM**
**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
**Required Technical and Professional Expertise**
As above.
**Preferred Technical and Professional Expertise**
As above.
**About Business Unit**
IBM 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.
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.
**About IBM**
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
**Location Statement**
IBM is committed to creating a diverse environment and is proud to be an equal op
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