Scientist, Associate - - 15576

基本信息

国家

Tunisko

城市

突尼斯

职位编号

42330

部门

Development

Experience Level

ASSOCIATE

Employment Status

FULL_TIME

Workplace Type

Hybrid

描述和要求

The Infor Decision Analytics and Science (IDEAS) team is responsible for setting the AI/ML strategy at Infor. Our industry-specific Augmented Intelligence (AI) solutions suite in Asset, Forecast, Inventory, Customer, Pricing, People, and Operational Intelligence domains provides rapid and measurable value to enterprise customers. In pursuit of advancing our AI solutions, IDEAS is currently seeking an Associate Scientist. This role requires technical expertise in building real-world ML models for enterprise applications. Your contributions will be instrumental in crafting highly automated, robust, reusable, explainable, user-friendly, and self-serviced algorithmic solutions that can be swiftly deployed and managed at scale.

A Day in The Life Typically Includes:

· Develop and maintain analytical features in the Augmented Intelligence (AI) solutions using Infor OS platform.

· Build expertise and stay up to date with latest developments in Infor OS that can be leveraged by AI solutions.

· Optimize and implement data models and semantic business layers for AI solutions to reflect business objects, requirements, and constraints.

· Extract, process, cleanse, model, and conduct an in-depth evaluation of enterprise datasets to extract actionable insights that provide value to our customers.

· Maintain development artifacts and technical documentation in GitLab.

· Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.

Basic Qualifications:

· Prior industry exposure in developing and implementing data pipelines for AI solutions.

· Software development experience in Python, PySpark, and SQL and familiarity with scientific libraries commonly used in statistical analysis and machine learning.

· Familiarity with software development environments such as VSCode, and version control using Git and CI/CD pipelines.

· Knowledge of data models, graph and relational databases. Proficiency in handling large datasets and data analysis with Tableau, Power BI, or similar BI tools.

Preferred Qualifications:

· Masters in Statistics, Mathematics, Physics, Computer Science, Operations Research, or a related quantitative discipline from an accredited university.

· Experience in system design, batch, and real-time architectures, explainable AI (XAI), AutoML, and MLOps.

· Familiarity with task management with JIRA.

关于Infor

Infor是面向特定行业市场的企业提供商业云软件产品的全球领导者。Infor在云中构建完整的行业套件，并有效地部署将用户体验放在首位的技术，利用数据科学，并轻松集成到现有系统中。全球超过60,000家组织依靠Infor来帮助克服市场中断并实现全业务范围的数字化转型。

更多信息请访问www.infor.com

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 infor.com/about/careers webpage.

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