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Scientist

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Remoto, Brasil Infor Tempo inteiro US$104.000 - US$130.878 por ano

General information

Country

Brazil

City

Remote Location

Job ID

44743

Department

Development

Experience Level

ASSOCIATE

Employment Status

FULL_TIME

Workplace Type

Remote

Description & Requirements

The Infor Decision Analytics and Science (IDEAS) team shapes Infor's AI/ML strategy by driving development across industry-specific Augmented Intelligence solutions. These solutions, spanning Asset, Forecast, Customer, Pricing, People, Inventory, and Operational Intelligence domains, empower enterprise customers with rapid and measurable results.

A Day in The Life Typically Includes:

  • Design, develop, test, and deploy scalable ML models, including time series forecasting, anomaly detection, clustering, classification, regression, recommendation, and semantic search.
  • Develop quality code in Python adhering to common software development processes such as unit and functional testing, version control, code reviews, CI/CD, and documentation.
  • Build expertise to package and deploy ML engines and augmented intelligence solutions using Infor OS.
  • Extract, process, cleanse, model, and conduct an in-depth evaluation of enterprise datasets to extract actionable insights that provide value to our customers.
  • Design, execute, analyze, and interpret experiments and investigations.
  • Navigate ambiguous or incomplete business problems and guide the process of formulating them into clear functional and technical requirements for improving enterprise outcomes.
  • Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.

Basic Qualifications:

  • Experience in developing and implementing advanced ML models in real-world settings.
  • Development experience in Python, PySpark, Neo4j, SQL, and scientific libraries for statistical analysis and ML.
  • Experience in explainable AI (XAI), AutoML, GraphML and MLOps.
  • Experience in data modeling and handling large datasets, with experience in data visualization tools such as Tableau, Power BI, or similar.
  • Experience using JIRA for task management and collaboration.

Preferred Qualifications:

  • Experience in system design, batch, and real-time architectures.
  • Experience working with machine learning technologies relevant to enterprise applications.

About Infor

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

For more information visit

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management (PBM) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future.

We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the webpage.