10 meilleures offres (amazon.com, toronto, on) (à pourvoir)

Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- De 195 900 $ à 327 200 $ par an
- Temps plein
- Doctorat
- Informatique
- Vente
- Régimes de participation aux bénéfices
- Assurance Dentaire
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- De 114 800 $ à 191 800 $ par an
- Temps plein
- Informatique
- Baccalauréat
- Diplôme universitaire non requis
- Régimes de participation aux bénéfices
- Assurance Dentaire
Sr Sales Strategy and Operations Manager, Central StratOps, GTM and Analytics
Amazon Advertising Canada Inc. —Toronto, ON
- De 93 700 $ à 156 500 $ par an
- Temps plein
- Logiciels de GRC/CRM
- Microsoft Excel
- Vente
- Régimes de participation aux bénéfices
- Assurance Dentaire
Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
Amazon Development Centre Canada ULC —Toronto, ON
- De 214 200 $ à 357 800 $ par an
- Temps plein
- Bar
- Doctorat
- Informatique
- Régimes de participation aux bénéfices
- Assurance Dentaire
Data Engineer, Advertising & Marketing Performance Intelligence
Amazon Development Centre Canada ULC —Toronto, ON
- De 103 300 $ à 172 600 $ par an
- Temps plein
- Maîtrise
- Bases de données
- SQL
- Régimes de participation aux bénéfices
- Assurance Dentaire
Operations Engineer, GES NA Ops Engineering
Amazon Canada Fulfillment Services, ULC —Toronto, ON
- De 68 400 $ à 114 300 $ par an
- Temps plein
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
- Régimes de participation aux bénéfices
- Assurance Dentaire
il y a 12 jours
Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE)
Amazon Web Services Canada, Inc. —Toronto, ON
- De 146 000 $ à 211 600 $ par an
- Temps plein
- AWS
- Déplacements à prévoir
- Développement logiciel
- Régimes de participation aux bénéfices
- Assurance Dentaire
Sr. Business Intelligence Engineer, Forecasting and Labs Analytics
Amazon.com.ca, ULC —Toronto, ON
- De 97 400 $ à 162 600 $ par an
- Temps plein
- SQL
- AWS
- Apprentissage automatique
- Régimes de participation aux bénéfices
- Assurance Dentaire
Principal Product Mgr. - Tech, Programmatic Reporting, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- De 157 600 $ à 263 200 $ par an
- Temps plein
- SQL
- Esprit d'analyse
- Gestion de projet
- Régimes de participation aux bénéfices
- Assurance Dentaire
Business Intelligence Engineer II, SCOT - Forecasting & Labs
Amazon Development Centre Canada ULC —Toronto, ON
- De 76 400 $ à 127 600 $ par an
- Temps plein
- Microsoft Excel
- Oracle
- Informatique
- Régimes de participation aux bénéfices
- Assurance Dentaire
il y a 4 jours

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Area Manager II, AMZL
Amazon Canada Fulfillment Services, ULC —Brampton, ON
Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business…
De 75 000 $ à 105 000 $ par an
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Sr Sales Strategy and Operations Manager, Central StratOps, GTM and Analytics
Amazon Advertising Canada Inc. —Toronto, ON
You should feel comfortable navigating ambiguity, solving complex problems, and communicating effectively with partners, sales customers, and leadership to…
De 93 700 $ à 156 500 $ par an

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Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

Amazon Development Centre Canada ULC
Toronto, ON

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Détails du poste

Temps plein

Avantages

Régimes de participation aux bénéfices
Assurance Dentaire
Congés payés
Assurance Vision
REER

Compétences

TensorFlow
Doctorat
Informatique
Vente
Ingénierie
Spark
NumPy
R
Recherche
Java
Maîtrise
C++
Apprentissage automatique
Systèmes distribués
SciPy
Traitement du langage naturel
APIs
Affaires
Python
Hadoop

Description complète du poste

DESCRIPTION

The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality.

The Media Planning Science team, part of broader MADS team, develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes.

As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.

Key job responsibilities

Lead the development of media planning models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of media plans across different metrics.
Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
Foster collaborations between scientists to move faster, with broader impact.
Regularly engage with the broader scientific community with presentations, publications, and patents.

A day in the life
You will solve real-world problems by analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop ML/DL models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal documents to share insights to audiences of varying levels of technical sophistication.

About the team
We are a team of scientists across Applied, Research, and Data Science disciplines. You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

BASIC QUALIFICATIONS

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 195,900.00 - 327,200.00 CAD annually

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : amazon.com (toronto, on)

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