Senior Data Scientist

Company Description

Acumatica is a company on a mission. We are a leading innovator in cloud ERP with customers located around the world. But don’t take our word for it—read what analysts like G2 and Info-Tech have to say about us.

Acumatica is a leading provider of cloud business management software that empowers small and mid-size businesses to unlock their potential and drive growth. Built on the world’s best cloud and mobile technology and a unique customer-centric licensing model, Acumatica delivers a suite of fully integrated business management applications, such as Financials, Distribution, CRM, and Project Accounting, on a robust and flexible platform. In an interconnected world, Acumatica enables customers to take full control of their businesses, play to their organizations’ unique strengths, and support their clients by following them anywhere on any device.

Acumatica’s culture is casual and high-energy. We are passionate about our product and our mission, and we are loyal to each other and our company. We value work/life balance, efficiency, simplicity, freakishly friendly customer service, and making a difference in the world. Acumatica offers exceptional professional and financial growth potential.

To learn more about Acumatica’s mission, please visit: http://www.acumatica.com.

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

Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience

• 7+ years of experience in data science or advanced analytics, preferably within SaaS ERP or enterprise software
• Strong experience working with business and technical teams
• Proven ability to translate business analytics needs into well-defined & structured analytics deliverables
• Strong communication skills with ability to influence and educate stakeholders at all levels
• Experience working with large, complex datasets and modern cloud data platforms (e.g. Snowflake, Data Bricks, Big Query, AWS Spark, Dremio, Apache Iceberg)
• Ability to be a lead for a team of 3-5 data analysts

Technical Skills

• Hands-on experience with Python or R, Advanced SQL, and machine learning libraries
• Strong data modeling experience
• Strong knowledge of ETL/ELT pipe