Data Scientist role at Mundiale, focusing on AI solutions and NLP technologies within a collaborative team environment. Responsibilities include model development and implementation.
About the role
- Data Scientist leading impactful analytics projects at Cencora, improving lives through data-driven solutions. Collaborating across departments to develop actionable insights within the organization.
Responsibilities
- Manage and deliver small to medium-scale Data Science and AI projects, from planning to execution, ensuring deliverables meet business needs.
- Act as the go-to expert on internal data resources, providing insights and recommendations to stakeholders.
- Partner with IT, project managers, and business teams to define requirements and implement advanced analytics solutions.
- Utilize tools like Python, Power Automate, AI, Power BI and SQL to create solutions.
- Develop standardized protocols for data extraction, management, and quality assurance.
- Contribute to the development of data management standards, prototypes, and reporting models to drive organizational goals.
- Prepare compelling presentations and reports to share insights with management and key stakeholders.
- Stay informed about industry trends, competitor activity, and developments in healthcare and logistics
Requirements
- Strong expertise in Python
- Strong expertise in relational databases (e.g., Microsoft SQL Server)
- Experience with data management, reporting, and delivering actionable insights
- Knowledge of tools like Databricks, Alteryx Designer and Power Automate is a plus
- Strong analytical, conceptual, and problem-solving skills
- Excellent communication and presentation skills
- Ability to manage multiple priorities and deliver results in a fast-paced environment
- Proven leadership skills and experience mentoring team members or leading small projects
Benefits
- competitive annual bonus
- life insurance from Day 1
- best-in-class health insurance package
- up to 6 fully paid benefit days a year
- referral bonus scheme
- boundless learning opportunities
- global Employee Assistance Program
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