Data Scientist
3 weeks ago
**Introduction**
Technology sales at IBM is evolving it's way of working to break beyond boundaries with innovative approaches. Preferring to 'show' vs. 'tell', Client Engineering co-creates with prospective customers, in real-time, on solutions to their hardest business challenges.
As a Data Scientist within Client Engineering you'll be a key player in a multi-disciplinary team made up of Engineers, Architects, Designers, Developers, and Business Strategists. The brightest minds collaborating with clients as one team, and contributing to experiential working sessions. The outputs of which produce mínimal viable product (MVP), enterprise-scale solutions at lean, start-up speed.
Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of a team, you'll be surrounded by leaders and colleagues who are always willing to help and be helped - as you support mínimal viable products (MVPs), and proofs of concept that compel clients to invest in IBM's products and services.
**Your Role and Responsibilities**
We're passionate about success. If this role is right for you, then your achievements will mean that your career is flourishing and our clients are thriving. To help ensure this win-win outcome, a 'day-in-the life' of this opportunity may include, but not be limited to:
- Co-creating Data /AI solutions with client that leverage IBM Data & AI offerings to solve the client's business challenges through a quick Prove of Experience (PoX) delivery. Provide insights to the client business case(s)
- Demonstrating strong business acumen to understand your clients' hardest problems, formulating hypotheses and testing conclusions to influence solution designs.
**Required Technical and Professional Expertise**
- A demonstrable deep understanding of statistics, machine learning and NLP/NLU.
- Provable expertise in identifying data sources, transforming data, and using frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) that contribute to the development of client's ML models.
- Advanced cding skills with Python, R, Scala, Java, C++ and GO.
- Ability t use ETL tools. Good understanding of Data Governance and Data Observability
- Excellent cmmunication skills at all levels with evident comfort in a client-facing role. Able to contribute to the facilitation of experiential problem discovery, framing and solutioning session.
**Preferred Technical and Professional Expertise**
- Deep technical expertise and business domain knowledge to solve client business problems through Data Science.
- Masters, PhD (r equivalent) in a highly quantitative field (Data Science, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
- Experience and ability f working across multi clouds (IBM, AWS, GCP and Azure)
**About Business Unit**
Client Engineering within IBM Technology Sales is about proactive initiative, controlled speed and positive impact. Moving fast, we've a bias for action, and an obsession to support our clients overcome their hardest problems through fast-paced and agile co-creative experiences.
In a world where technology moves at speed, it's essential that we stay ahead of the curve to provide tailored solutions from across IBM's whole product suite, that meet our clients' needs. It's not enough for us to know that there are problems in the world. As a multi-disciplinary team of experts we're obligated to make sure they're continually solved. It's an obsession that drives us to help our clients modernize and thrive. Always.
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 opportunity employer. All qualified a
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