Website Acumatica
Acumatica
Company : Acumatica
Job Description
This is an exciting opportunity for a senior data scientist to play a strategic role in shaping how data is used to drive decisions, insights, and innovation across our business, partners and customers ecosystem. In this role you will work closely with our business teams to understand their goals, challenges, and use cases – translating them into actionable data and analytics requirements.
You will help define both the analytics and data engineering dimensions of our data platform strategy. On the analytics side, you will define key business metrics, design data models, and develop insights and dashboards that inform critical tactical & strategic decisions. You will collaborate with data engineering to ensure the underlying data architecture, pipelines, and structures are aligned with analytical needs.
You will also help uncover and shape opportunities for advanced analytics and machine learning, including use case discovery, prototyping, and advising on practical deployment for our business teams. You will have the opportunity to help our business stakeholders move beyond reactive reporting to forward-looking, data-driven decision-making with scalable, value-driven advanced analytics.
Key Responsibilities:
- Business Partnership & Requirements Gathering
- Work with cross-functional business team to understand key objectives and challenges of each business function
- Translate business goals into data and analytical requirements for data engineering and data analytics teams
- Proactively identify areas where analytics and machine learning can provide enhanced value and insights beyond current scope
- Communicate complex findings in a clear, actionable manner to both technical & non-technical stakeholders
- Analytical Leadership
- Design, build, and implement advanced analytics models (e.g. forecasting, classification, segmentation) to support internal and customer facing use cases
- Serve as a thought leader on data science best practices, emerging trends, and innovation opportunities
- Collaboration & Enablement
- Work closely with data engineers to ensure data pipelines and structures align with analytical needs
- Help define and maintain a roadmap for analytics and ML capabilities aligned with business and product goals
- Mentor rising data scientists and analysts