General information

Country
Tunisia
City
Tunis
Job ID
41800
Department
Development
Experience Level
ASSOCIATE
Employment Status
FULL_TIME
Workplace Type
Hybrid

Description & Requirements

The Data Science Engineers in IDEAS are the brain behind every data-driven solution. This role relies on a combination of analytics and technical expertise to turn the data vision into reality. As a Data Science Engineer, you are responsible for designing, building, and operationalizing large-scale predictive and prescriptive analytics to solve business problems that are important to Infor customers.

Job Duties:

  • Setup end to end lifecycle of machine learning solutions, including model building orchestration and data pipelines. 
  • Build ELT from customer data sources to support ML solutions requirements. 
  • Work with business stakeholders to identify business challenges that can be solved with AI/ML. 
  • Communicate the results and their implications to the business stakeholders. 
  • Perform exploratory data analysis on large and complex datasets to assess data quality, extract, and share insights. 
  • Work on innovative and pragmatic solutions using the latest AI/ML technologies in different industries.
Job Requirements:

  • Engineering degree (or foreign equivalent) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical, Industrial or a related quantitative discipline from an accredited university. 
  • Proficient programming skills in Python and data-querying skills in SQL and/or PySpark, etc.  
  • Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub.  
  • Effective verbal and written communication, and presentation skills to explain difficult technical topics to different audiences from scientists to engineers to business partners.  
  • Good data modeling and problem-solving skills. 
  • A strong collaborative mindset with great interpersonal skills to help solve complex business problems.

Preferred Qualifications:

  • Knowledge of machine learning algorithms with frameworks such as TensorFlow, PyTorch, or Keras. 
  • Experience in building Timeseries forecasting and recommendation models. 
  • Hands on experience in analytics tools: Tableau, Power BI…

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 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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