معلومات عامة

بلد
تونس
مدينة
تونس
معرف الوظيفة
43749
قسم
Development
الخبرة
MID_SENIOR_LEVEL
حالة الإكمال
FULL_TIME
نوع العمل
On-site

الوصف والمتطلبات

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.


حول Infor

ببناء مجموعات صناعية كاملة في السحابة وتنشر بكفاءة التكنولوجيا التي تضع تجربة المستخدم في المقام الأول ، وتستفيد من علم البيانات ، وتتكامل بسهولة في الأنظمة الحالية. تعتمد أكثر من 60,000 مؤسسة حول العالم على إنفور للمساعدة في التغلب على اضطرابات السوق وتحقيق التحول الرقمي على مستوى الأعمال. 
لمزيد من المعلومات، يرجى زيارة www.infor.com 

قيمنا

في إنفور، نسعى جاهدين من أجل بيئة مبنية على فلسفة عمل تسمى الإدارة™ القائمة على المبادئ (PBM™) وثمانية مبادئ توجيهية: النزاهة، والإشراف والامتثال، والتحول، وريادة الأعمال المبدئية، والمعرفة، والتواضع، والاحترام، وتحقيق الذات. إن زيادة التنوع أمر مهم ليعكس أسواقنا وعملائنا وشركائنا والمجتمعات التي نخدمها الآن وفي المستقبل.

لدينا التزام لا هوادة فيه بثقافة قائمة على PBM. مستنيرة بالمبادئ التي تسمح لمجتمع حر ومفتوح بالازدهار ، تعد PBM™ الأفراد للابتكار والتحسين والتحول مع تعزيز منظمة صحية ومتنامية تخلق قيمة طويلة الأجل لعملائها ومؤيديها والوفاء لموظفيها.

Infor is an Equal Opportunity Employer. إنفور هي صاحب عمل تكافؤ الفرص. نحن ملتزمون بخلق بيئة عمل متنوعة وشاملة. لا تميز إنفور ضد المرشحين أو الموظفين بسبب جنسهم أو عرقهم أو هويتهم الجنسية أو إعاقتهم أو عمرهم أو توجههم الجنسي أو دينهم أو أصلهم القومي أو وضعهم العسكري أو أي وضع محمي آخر بموجب القانون.

نحن في Infor نقدر خصوصيتك ولهذا السبب أنشأنا سياسة يمكنك قراءتها هنا.