Data Scientist

2 weeks ago


Riyadh, Saudi Arabia Talent Pal Full time

**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)


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