基本信息

国家
Tunisko
城市
突尼斯
职位编号
41734
部门
Development
Experience Level
MID_SENIOR_LEVEL
Employment Status
FULL_TIME
Workplace Type
Hybrid

描述和要求

The Infor Revenue Management System (RMS) team is seeking a talented Data Scientist with a specialization in Machine Learning . Infor RMS is one of the market leading solutions developed for the hospitality industry and installed within the biggest hotel groups in the world.

Infor RMS is a revenue management cloud-based solution that automatically, on a daily basis, calculates demand and revenue forecasts, while recommending appropriate selling strategies. Those recommendations are then uploaded to hotels’ websites or to online travel agencies (Booking.com, Expedia…).


Our team works on end-to-end problem solving. This starts with understanding the business problem, prototyping, modeling solutions, designing data pipelines, and at the end implementing algorithms in production systems.
As a senior data scientist, you are expected to have experience in using your analytical, statistical, and programming skills to collect, analyze, and interpret real-world customer data. You will then use this information to develop data-driven solutions to solve business related challenges.

Essential Duties:

  • Apply advanced scientific knowledge to build and test AI / ML approaches.
  • Design experiments, prototype and optimize different AI / ML techniques to develop existing and new product features.
  • Clean, verify the integrity of complex data and perform Exploratory Data Analysis (EDA).
  • Write summaries and reports to present technical findings/conclusions and project status updates.
  • Help on optimizing the existing processes and procedures and troubleshoot technical issues.
  • Program and write maintainable and well-documented code.
  • Mentor junior Data Scientists/interns.
  • Perform other duties as assigned.

Qualifications Required:

  • Intelligent, fast-thinking and highly motivated with a strong problem-solving and analytical skills.
  • Experience with Python (Jupyter, NumPy, Pandas, etc) must have experience in at least one of the common data science toolkits, such as scikit learn, Tensorflow, PyTorch, etc.
  • SQL for databases querying.
  • Operational research or revenue management science skills would be good to have.
  • Clear knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.) and their applications.
  • Excellent presentation, written, and verbal communication skills for coordinating across teams.
  • Good balance between Data Science and Software Development.
  • Be able to work independently and as part of a team.

Preferred Qualifications:

  • Master degree, Engineer or Ph.D in computer science or Data science


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.

At Infor we value your privacy that’s why we created a policy that you can read here.

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