Data Scientist for Sales Compensation

hace 1 semana


Tlaquepaque, México Hewlett Packard A tiempo completo

**_ Responsibilities: _**- Applies advanced knowledge on Data Science platforms to build, design, maintain and operate data models in support of business analytics.- Leads internal projects with medium to high complexity and risk, provides feedback on projects, and conducts post- project evaluations.- Represents the needs of the business, function, or region on an ongoing basis to drive process improvements.- Collaborates with operational teams and business stakeholders to gather business requirements, supporting the design of new or improved processes of medium to high complexity, and understand business/customer impact.- Utilizes and assists others in utilizing standard project management and quality- improvement methodologies in process improvement approaches.- Establishes processes which are consistent with overall organization objectives and maintains process documentation.- Communicates tactical process decisions and plans, project status, and issues and workarounds, in order to achieve alignment with relevant areas of the business, function, or region.**_ Education and Experience Required: _**- First-level university degree or equivalent experience; advanced university degree preferred.- Typically 6-10 years of related experience in IT/business operations.- Typically 5-8 years of project management experience.- Quality improvement training required and certification a plus.**_ Knowledge and Skills: _**- Experience with Data Science platforms such as Databricks, Snowflake or Azure ML- Expert in SQL and programming languages such as Python.- Excellent communication skills (i.e. written, verbal, presentation), leadership, and influence skills. Mastery in English and local language as well as other languages as required.- Strong business experience in multiple process areas with excellent project management and process development skills; ability to drive process improvements using industry standard quality improvements tools and concepts.- Strong project management skills such as planning, execution and implementation.- Solid financial and business acumen.- In-depth understanding of core HP businesses and the revenue cycle.- In-depth knowledge of HP operational processes, industry trends, and customer/partner requirements.



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