Información general

País
Túnez
Ciudad
Tunis
ID vacante
43749
Departamento
Development
Experiencia laboral
MID_SENIOR_LEVEL
Employment Status
FULL_TIME
Workplace Type
On-site

Descripción y Requisitos

Infor Decision Analytics and Science (IDeAS) is a division of Infor that provides AI/ML solutions for various industries. We use advanced predictive and prescriptive analytics to create value-driven solutions. Our goal is to enable fast and effective decision automation for all business functions.

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 data vision into reality. As a Senior 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.

A Day in The Life Typically Includes:

  • Architect, implement, and oversee the end-to-end lifecycle of advanced machine learning solutions, including ML model orchestration, scalable data pipelines, and performance optimization.
  • Develop and enhance ETL/ELT pipelines from diverse customer data sources to ensure alignment with complex ML solution requirements.
  • Drive strategic discussions with business stakeholders to identify critical business challenges and opportunities addressable through AI/ML.
  • Articulate results, insights, and actionable recommendations to executives and cross-functional teams, ensuring alignment with business goals.
  • Lead exploratory data analysis on large, complex, and diverse datasets to evaluate data quality, derive insights, and inform model development.
  • Innovate by designing and delivering cutting-edge AI/ML solutions tailored to specific industry needs, leveraging the latest technologies and frameworks.
  • Mentor and provide technical guidance to junior team members, fostering skill development and ensuring high-quality deliverables across projects.

Basic Qualifications:

  • Engineering degree (or foreign equivalent) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical Engineering, Industrial Engineering, or a related quantitative discipline from an accredited university (or foreign equivalent).
  • Extensive hands-on experience in architecting and deploying end-to-end machine learning and/or optimization pipelines, including ETL processes, data pre-processing, exploratory data analysis, model development, deployment, and production inference.
  • Expert programming skills in Python and strong data-querying expertise in SQL, PySpark, or equivalent frameworks.
  • Proven ability to effectively communicate complex technical concepts and solutions through presentations, technical documentation, blog posts, GitHub projects, and other mediums.
  • Good verbal and written communication skills, with the ability to distill and convey intricate technical topics to diverse audiences, including scientists, engineers, and business leaders.
  • Advanced data modeling and analytical problem-solving skills with a focus on delivering scalable and impactful solutions.
  • Strong collaborative mindset with demonstrated interpersonal skills to lead and contribute effectively to cross-functional teams addressing complex business challenges.
  • Proficiency in analytics and visualization tools such as Tableau, Power BI, or similar platforms, with a track record of creating actionable insights.

Preferred Qualifications:

  • Advanced degree (Master's or PhD) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical Engineering, Industrial Engineering, or a related quantitative discipline from an accredited university (or foreign equivalent).
  • Advanced expertise in machine learning algorithms and hands-on experience with industry-standard frameworks such as TensorFlow, PyTorch, Keras, or equivalent.
  • Demonstrated experience in designing, implementing, and optimizing time series forecasting models and personalized recommendation systems at scale.
  • Proven track record in developing and deploying AI/ML solutions for real-world business problems, including but not limited to demand forecasting, anomaly detection, pricing optimization, and recommendation engines.


Acerca de Infor

Infor es una empresa global que proporciona productos de software en la nube para todas las áreas de un negocio y para todo tipo de industria. Infor desarrolla suites integrales por industria en la nube e implementa tecnología de forma eficiente que prioriza la experiencia del usuario, aprovecha la ciencia de datos y se integra fácilmente en los sistemas existentes. Más de 60 000 empresas en todo el mundo confían en Infor para ayudarles a superar las disrupciones del mercado y lograr la transformación digital en todas las áreas de sus negocios. 
Para más información, visita www.infor.com 

Nuestros Valores

En Infor, nos esforzamos por lograr un entorno que se base en nuestra filosofía MBM™ y ocho Principios Fundamentales: Integridad, Administración y Cumplimiento, Transformación, Espíritu Empresarial basado en principios, Conocimiento, Humildad, Respeto y Autorrealización. El aumento de nuestra diversidad es importante para reflejar nuestros mercados, clientes, socios y comunidades a las que servimos ahora y en el futuro.br>

Tenemos un compromiso implacable con una cultura basada en una filosofía empresarial denominada Principle Based Management™ (PBM™). De acuerdo con estos principios, permite que florezca una sociedad libre y abierta, PBM™ prepara a las personas para innovar, mejorar y transformar mientras fomenta una organización saludable y en crecimiento que crea valor a largo plazo para sus clientes y simpatizantes y satisfacción para sus empleados.div>

Infor es un empleador que ofrece igualdad de oportunidades. Estamos comprometidos a crear un ambiente de trabajo diverso e inclusivo. Infor no discrimina a los candidatos o empleados por su sexo, raza, género, identidad, discapacidad, edad, orientación sexual, religión, origen nacional, condición de veterano o cualquier otra condición protegida por la ley.

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