Data Science & Machine Learning Intern

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

Job Description:

As a Data Science intern at Acumatica, you will have the opportunity to work on real world projects that can greatly benefit from Data Science and machine learning. This internship will provide you with hands-on experience and the chance to apply your knowledge to practical challenges.

Responsibilities:

• Assist in data identification, gathering, cleaning, and preprocessing
• Analyze large datasets to identify trends, patterns, and insights
• Develop and implement machine learning models
• Present findings and insights to stakeholders
• Participate in team meetings and contribute ideas to ongoing projects

Qualifications

Requirements:

• Currently enrolled in a Computer Science program or related field
• Strong interest in Data Science and machine learning
• Basic understanding of statistical analysis and machine learning algorithms
• Proficiency in programming languages such as Python
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a team-oriented environment

Preferred Qualifications:

• Experience with data manipulation libraries such as Pandas and Numpy
• Knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Previous coursework or projects related to Data Science or machine learning

Additional Information

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 HR@acumatica.com. This email is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails sent for this purpose will be returned. Emails sent for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

For this role, the salary is $20/hour for 10weeks. The actual salary offer will carefully consider a wide range of factors, including skills, qualifications, experience, and other relevant elements.

At Acumatica, certain roles are eligible for additional rewards, including annual bonus and stock for full-time employees. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role.