Data Scientist/scientifique des données

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

As a Data Scientist, you will take a hands-on role in designing and building machine learning-based prototypes aimed at advancing our Demand Sensing and Inventory Optimization product development. You will work on real-world supply-chain problems, analyzing new business challenges, determining solution requirements, and collaborating on solution deployment. You will collaborate closely with a team of engineers to ensure that your algorithmic solutions meet the highest standards of accuracy and efficiency.

What you'll do

• Define business problems and solution requirements within the context of supply chain management.
• Design and develop machine learning algorithms to address specific business objectives in demand sensing and inventory optimization
• Present research findings and solutions to both internal and external stakeholders
• Ensure the consistency, completeness, accuracy, and efficiency of all algorithmic solutions
• Design, document, prototype, and validate algorithms, focusing on machine learning implementations where applicable
• Collaborate with software engineers to facilitate the implementation and testing of algorithms.
• Prepare educational materials to convey solution approaches, benefits, and usability to various audiences.

What you'll bring

• Expertise in machine learning, including experience with supervised and unsupervised learning, and extreme gradient boosting.
• Ability to interact effectively with software engineers and the product management team.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn or similar frameworks.
• A minimum of 2+ years of experience in software or algorithm design engineering
• Bachelor's degree in Operations Research, Industrial Engineering, Machine Learning, Computer Science, or a related discipline, or equivalent education and experience
• Fluency in English, basic French

Preferred Qualifications:

• Knowledge of supply chain management, inventory planning, and demand forecasting.
• Familiarity with deterministic and stochastic modeling, operations research methodologies, and simulation
• Proficiency in programming languages such as Python (preferred), C++, or Java.
• Proven ability to design algorithmic solutions to complex planning and operational support problems.
• Excellent writing and communication skills to convey complex ideas clearly and effectively.
• Master's degree in Operations Research, Industrial Engineering, Machine Learning, Computer Science, or a related discipline, or equivalent education and experience

Why Join Us

• Work on cutting-edge technology and impactful real-world problems.
• Collaborate with a highly skilled and dedicated team.
• Opportunities for continuous learning and professional growth.

Posting in French

En tant que scientifique des données - ingénieur en conception/chercheur en apprentissage automatique/algorithme, vous jouerez un rôle concret dans la conception et la création de prototypes basés sur l’apprentissage automatique visant à faire progresser le développement de nos produits de perception de la demande et d’optimisation des stocks. Vous travaillerez sur des problèmes concrets liés à la chaîne logistique, analyserez les nouveaux défis, déterminerez les besoins en solutions et participerez au déploiement de ces solutions. Vous travaillerez en étroite collaboration avec une équipe d’ingénieurs afin de garantir que vos solutions algorithmiques répondent aux normes de précision et d’efficacité les plus strictes.

Votre rôle

• Définir les problèmes de gestion et les besoins en solutions dans le cadre de la gestion de la chaîne logistique.
• Concevoir et développer des algorithmes d’apprentissage automatique pour atteindre des objectifs spécifiques en matière de perception de la demande et d’optimisation des stocks.
• Présenter les résultats de recherche et les solutions aux parties prenantes internes et externes.
• Assurer la cohérence, l’exhaustivité, la précision et l’efficacité de toutes les solutions algorithmiques.
• Concevoir, documenter, prototyper et valider des algorithmes, en mettant l’accent sur les implémentations d’apprentissage automatique le cas échéant.
• Collaborer avec des ingénieurs logiciels pour faciliter l’implémentation et les tests d’algorithmes.
• Préparer des ressources pédagogiques pour communiquer sur les approches, les avantages et l’utilisabilité de la solution auprès de divers publics.

Votre profil

• Expertise dans le domaine de l’apprentissage automatique, y compris une expérience avec l’apprentissage supervisé et non supervisé, ainsi que l’amplification de gradient extrême.
• Capacité à interagir efficacement avec des ingénieurs logiciels ainsi qu’avec l’équipe de gestion des produits.
• Expérience dans le développement de frameworks d’apprentissage automatique tels que TensorFlow, PyTorch, scikit ou autres frameworks similaires
• Au moins 2 ans d’expérience dans l’ingénierie de conception d’algorithmes ou de logiciels.
• Baccalauréat en recherche opérationnelle, génie industriel, apprentissage automatique, informatique ou une discipline connexe, ou encore une expérience et une formation équivalentes.
• Maîtrise l'anglais, français de base.

Qualifications souhaitées :

• Connaissances en gestion de la chaîne logistique, planification des stocks et prévision de la demande.
• Expérience avec la modélisation déterministe et la modélisation stochastique, les méthodologies de recherche opérationnelle et la simulation.
• Maîtrise de langages de programmation tels que Python (souhaité), C++ ou Java.
• Capacité éprouvée à concevoir des solutions algorithmiques pour faire face aux problèmes complexes de planification et d’assistance opérationnelle.
• Excellentes compétences en rédaction et en communication pour une communication claire et efficace des idées complexes.
• Maîtrise en recherche opérationnelle, génie industriel, apprentissage automatique, informatique ou une discipline connexe, ou encore une expérience et une formation équivalentes.

Notre offre

• Possibilité de travailler sur des technologies de pointe et des problèmes concrets importants.
• Collaboration avec une équipe dédiée hautement qualifiée.
• Opportunités de formation continue et d’évolution professionnelle.

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Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 71,000 - 150,800 (CAD) CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: www.SAPNorthAmericaBenefits.com

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Requisition ID: 400153 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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