
Data Science Professional
2 weeks ago
The ideal candidate will collaborate with stakeholders to identify business challenges, develop recommendations, and implement data-driven solutions.
Main Responsibilities- Prioritize and manage projects to achieve key performance indicators.
- Analyze new and existing data sources and process pipelines, documenting findings.
- Apply statistical analysis and visualization methods to generate hypotheses about business processes.
- Develop and implement AI solutions using big data and advanced analytic tools.
- Integrate domain knowledge into Machine Learning solutions.
- Establish best practices around ML Operationalization.
- Collaborate with other data science teams to encourage reuse of artifacts.
Soft Skills:
- Effective Communication - Establish a network of contacts across the organization.
- Stakeholder Management - Prevent conflict and communicate well with stakeholders.
- Analytical Ability - Make decisions that affect yourself and others.
Technical Skills:
- Data management, distributed computing, machine and deep learning, storytelling and visualization, math and statistics, AI technical skills.
- Intermediate coding skills.
- Working knowledge in business and industry.
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