Data Scientist ml Prototyping
2 hours ago
**What we offer**
**PURPOSE AND OBJECTIVES**
We are looking for highly motivated and customer-focused individual to build Advanced Analytics and Data Science capabilities within Presales.
**EXPECTATIONS AND TASKS**
This is a customer facing role & you will support the Market Units in APJ in driving the sales process by architecting big data solutions, creating insights based on large amounts of customer data using Advanced Analytics tools like SAP HANA, SAP Business Technology Platform, SAP Data Intelligence or SAP Analytics Cloud, partly combining industry-relevant ML/AI frameworks and creating a long-term roadmap for the customer
- Understand the requirements by working with customers or Presales Specialists in the Market Units
- Work collaboratively to architect and implement data-science solutions, mapping the data processing flow from raw data or data stores, to identifying optimal data analytics approaches, to data visualization and working with users to optimize the user experience
- Support and coach developers who are involved in the project
- Presentation of solutions, architecture and roadmap to customers and help the account team to progress the deal
**EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES**
- Bachelor or master’s degree in computer science- Programming expertise in Python and or R. Other languages a clear bonus.
- Data modeling in both SQL & NoSQL Databases
- Preferably programming experience in HANA XSA using the various capabilities like graph engine, text search, predictive etc.
- Exposure to machine learning frameworks (TensorFlow, PyTorch, Keras, scikit-learn)
- Degree in Statistics, applied mathematics or operations research background is preferable
- Very high proficiency in customer communications, presentations and demonstration is required.
- Ability and willingness to undertake customer related travel on short notice.
- Fluency in English is a must, any other language an asset.
**WORK EXPERIENCE**
- Several years of hands-on design, development, deployment in the context of data science projects.
**We are SAP**
**Our inclusion promise**
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
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