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SAP Data Scientist/Scientifique des donnes in Montreal, Canada

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 degreein 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 donnes - ingnieur en conception/chercheur en apprentissage automatique/algorithme, vous jouerez un rle concret dans la conception et la cration de prototypes bass sur lapprentissage automatique visant faire progresser le dveloppement de nos produits de perception de la demande et doptimisation des stocks. Vous travaillerez sur des problmes concrets lis la chane logistique, analyserez les nouveaux dfis, dterminerez les besoins en solutions et participerez au dploiement de ces solutions. Vous travaillerez en troite collaboration avec une quipe dingnieurs afin de garantir que vos solutions algorithmiques rpondent aux normes de prcision et defficacit les plus strictes.

Votre rle

  • Dfinir les problmes de gestion et les besoins en solutions dans le cadre de la gestion de la chane logistique.

  • Concevoir et dvelopper des algorithmes dapprentissage automatique pour atteindre des objectifs spcifiques en matire de perception de la demande et doptimisation des stocks.

  • Prsenter les rsultats de recherche et les solutions aux parties prenantes internes et externes.

  • Assurer la cohrence, lexhaustivit, la prcision et lefficacit de toutes les solutions algorithmiques.

  • Concevoir, documenter, prototyper et valider des algorithmes, en mettant laccent sur les implmentations dapprentissage automatique le cas chant.

  • Collaborer avec des ingnieurs logiciels pour faciliter limplmentation et les tests dalgorithmes.

  • Prparer des ressources pdagogiques pour communiquer sur les approches, les avantages et lutilisabilit de la solution auprs de divers publics.

Votre profil

  • Expertise dans le domaine de lapprentissage automatique, y compris une exprience avec lapprentissage supervis et non supervis, ainsi que lamplification de gradient extrme.

  • Capacit interagir efficacement avec des ingnieurs logiciels ainsi quavec lquipe de gestion des produits.

  • Exprience dans le dveloppement de frameworks dapprentissage automatique tels que TensorFlow, PyTorch, scikit ou autres frameworks similaires

  • Au moins 2ans dexprience dans lingnierie de conception dalgorithmes ou de logiciels.

  • Baccalaurat en recherche oprationnelle, gnie industriel, apprentissage automatique, informatique ou une discipline connexe, ou encore une exprience et une formation quivalentes.

  • Matrise l'anglais, franais de base.

Qualifications souhaites:

  • Connaissances en gestion de la chane logistique, planification des stocks et prvision de la demande.

  • Exprience avec la modlisation dterministe et la modlisation stochastique, les mthodologies de recherche oprationnelle et la simulation.

  • Matrise de langages de programmation tels que Python (souhait), C ou Java.

  • Capacit prouve concevoir des solutions algorithmiques pour faire face aux problmes complexes de planification et dassistance oprationnelle.

  • Excellentes comptences en rdaction et en communication pour une communication claire et efficace des ides complexes.

  • Matrise en recherche oprationnelle, gnie industriel, apprentissage automatique, informatique ou une discipline connexe, ou encore une exprience et une formation quivalentes.

Notre offre

  • Possibilit de travailler sur des technologies de pointe et des problmes concrets importants.

  • Collaboration avec une quipe ddie hautement qualifie.

  • Opportunits de formation continue et dvolution professionnelle.

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

SAPs 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 SAPs 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

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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