Data Scientist at Acumatica Inc Singapore

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

13 Oct, 26

Salary

0.0

Posted On

15 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Tableau, Microsoft Power BI, SQL, Python, R, Machine Learning, Exploratory Data Analysis, Business Intelligence, Requirements Gathering, Statistical Modeling, Data Visualization, Feature Engineering, Data Cleansing, KPI Definition, Stakeholder Communication

Industry

Software Development

Description

Company Description Acumatica is a company on a mission. We are a leading innovator in cloud ERP (Enterprise Resource Planning) solutions with growing businesses worldwide. But don’t take our word for it—read what analysts like G2, IDC, Nucleus Research, and Info-Tech have to say about us. Acumatica is different by design and purposely built to help small and midsized companies thrive in today’s digital economy. Our industry-specific business management solution is engineered to address real-world needs—featuring intelligent workflows and market-leading usability that enable companies to manage risk, anticipate disruption, and seize new opportunities. Our principled business practices, growth-friendly licensing, and flexible deployment options put organizations in control of their own future. Acumatica is more than just a product—we are a community of partners, customers, and creators committed to elevating business performance. Our ecosystem is driven by collaboration, merging leading technology and real-world insights to put organizations control of their future. In May of 2025, Acumatica was acquired by Vista Equity Partners, a global investment firm focused on enterprise software, data and technology-enabled businesses. Acumatica’s culture is collaborative 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 We are seeking a motivated and curious Associate Data Scientist to join our growing data science and analytics team. This role is ideal for someone who enjoys working across the full data value chain, from understanding business needs and preparing data to building reports, dashboards, analytical models, and supporting machine learning and AI initiatives. This is not a pure data science or machine learning role. A significant portion of the work will involve data analyst and business intelligence responsibilities, including data modeling, exploratory analysis, reporting, dashboard creation, and translating business requirements into actionable insights using tools such as Tableau and Microsoft Power BI. The role will also provide opportunities to contribute to machine learning, AI, and advanced analytics use cases under the guidance of senior team members. In this role, you will support initiatives that drive decisions, insights, and innovation across our internal, partner, and customer ecosystems. You will explore data, build analytical solutions, support model development, and translate findings into practical recommendations that contribute to business growth and customer success. This is a great opportunity for individuals early in their data science or analytics career to build hands-on experience in a collaborative environment, working with real-world data and solving practical business problems. Key Responsibilities Business Partnership & Requirements Gathering Partner with cross-functional business teams to understand objectives, challenges, data needs, and success metrics across functions. Translate business goals into clear, well-defined requirements for analytics, reporting, dashboards, data models, and machine learning solutions. Work with stakeholders to clarify reporting needs, define key metrics, and ensure deliverables support effective decision-making. Communicate analytical findings, dashboard insights, and modeling results in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Data Analytics, Reporting & Business Intelligence Design, build, and maintain data models that support reporting, dashboarding, exploratory analysis, and advanced analytics use cases. Develop and maintain reports, dashboards, and visualizations using Tableau and Microsoft Power BI for internal, partner-facing, and business decision-support use cases. Work with business users to define KPIs, metrics, dimensions, filters, and reporting logic. Explore, cleanse, transform, and validate raw data from various sources to prepare integrated datasets for analytics, reporting, and modeling. Conduct exploratory data analysis to uncover patterns, anomalies, trends, and business opportunities. Ensure reports and dashboards are accurate, reliable, user-friendly, and aligned with stakeholder needs. Apply analytics best practices to improve insight quality, usability, performance, and scalability. Machine Learning, AI & Advanced Analytics Support the development, validation, and deployment of machine learning models for identified business and product use cases. Assist with feature engineering, model evaluation, performance tracking, and documentation. Contribute to AI and advanced analytics initiatives where appropriate, including experimentation, prototyping, and evaluation of new machine learning models. Work under the guidance of senior team members to apply statistical, machine learning, and analytical techniques to practical business problems. Help translate model outputs into business insights, recommendations, and measurable outcomes. Collaboration & Enablement Work closely with data engineering teams to ensure data pipelines, data structures, and semantic layers align with analytical, reporting, and modeling needs. Collaborate with product, business, and technical teams to support data-driven decision-making. Contribute to defining and evolving an analytics and data science roadmap aligned with business and product priorities. Act as a contributor and advocate for data literacy, consistent metrics, and effective use of data across the organization. Document data definitions, assumptions, analytical methods, reporting logic, and model outputs to support transparency and reuse. Qualifications Education Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related field. Experience 3+ years of experience in data analytics, business intelligence, data science, advanced analytics, or a related role. Hands-on experience gathering requirements, analyzing data, building reports or dashboards, and presenting insights to stakeholders. Experience working with both business and technical teams. Proven ability to translate business needs into structured, actionable analytics deliverables. Strong problem-solving skills and a desire to learn new tools, methods, and technologies. Excellent communication and collaboration skills, with the ability to explain analytical concepts to technical and non-technical audiences. Domain knowledge of ERP or other enterprise application platforms, such as finance, supply chain, CRM, e-commerce, or operations, is highly desirable. Technical Skills Strong experience with data modeling, analytical design, and structuring datasets for reporting and analysis. Strong hands-on experience with Tableau, including data source setup and development of interactive dashboards. Experience with Microsoft Power BI is a plus. Strong SQL skills and experience writing analytical queries. Hands-on experience with Python or R for data analysis. Familiarity with machine learning concepts, model development, or statistical modeling is a plus, but not mandatory. Understanding of data quality, data governance principles, and compliance considerations. Ability to work with large, complex datasets from multiple business systems. Additional Information Industry competitive salary Comprehensive Health & Life insurances Hybrid working Office lunch Exposure to working with distributed global teams Paid paternity leave Acumatica is an Affirmative Action and Equal Opportunity Employer/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail [email protected].

Responsibilities

The role involves partnering with cross-functional teams to translate business needs into data models, reports, and dashboards using Tableau and Power BI. Additionally, the position supports the development and deployment of machine learning and AI initiatives under senior guidance.