Gerente de Ciência de Dados e Analytics liderando a transformação orientada a dados na Petz. Foco em construção de equipe e desenvolvimento de soluções em IA Generativa.
About the role
- Collaborate with Product, Engineering, and Business leaders to translate complex business challenges into testable hypotheses and impactful data science solutions
- Develop & deploy end-to-end AI/ML pipelines, partnering with data engineers from data preprocessing to model training, validation, deployment, and monitoring
- Design and implement advanced statistical & experimentation frameworks, including post-launch causal inference techniques (e.g. A/B testing, propensity score matching)
- Lead exploration and application of Generative AI to develop scalable solutions such as AI assistants to support platform capabilities
- Build machine learning applications including personalization, recommendation, and ranking systems to improve customer workflows and drive product adoption
- Mentor and guide junior data scientists, conduct technical reviews, and promote best practices in experimentation, model development, and MLOps
- Collaborate with a team of data scientists to develop AI/ML models over large-scale data addressing business problems and driving product innovation
- Translate insights into actionable recommendations and guide business strategy through clear communication with cross-functional teams
- Serve as subject matter expert advising leaders and may lead functional teams or programs within function
- Report to the Senior Manager of Data Science, PSET
- Préférence pour les candidats pouvant travailler en mode hybride/à distance à Toronto ou à Montréal, Canada.
Requirements
- Bachelor's or master's degree (preferred) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field, or equivalent work experience
- 8+ years of experience in data science, machine learning, or AI
- Proven track record of delivering successful AI-driven solutions at scale
- Expertise in developing and deploying machine learning models in large-scale environments
- Focus on deep learning, reinforcement learning, or natural language processing
- Proficient with statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and multivariate methods
- Hands-on experience with design and analysis of A/B and multivariate experiments
- Strong proficiency in Python
- Experience using machine learning libraries such as PyTorch & associated libraries
- Experience working with cloud environments like AWS and leveraging offerings such as Lambda, Bedrock, SageMaker
- Hands-on expertise in AI and LLM development with finetuning expertise in real-world business environments
- Excellent communication skills, ability to present technical concepts to non-technical stakeholders
- Preferred: strong publication record in top-tier AI/ML conferences and journals
- Preferred: experience deploying AI models for real-time applications in manufacturing or construction
- Preferred: strong knowledge of MLOps practices for model deployment and scaling
- Preferred: proven leadership and mentorship experience
- Licence ou master (de préférence) en informatique, science des données, apprentissage automatique, intelligence artificielle ou domaine connexe, ou expérience professionnelle équivalente
- Plus de 8 ans d'expérience en science des données, apprentissage automatique ou IA
- Maîtrise de Python et de bibliothèques comme PyTorch
- Expérience des environnements cloud AWS (Lambda, Bedrock, SageMaker)
- Expertise pratique en développement d'IA et de LLM avec expertise en finition
Benefits
- Salary is one part of Autodesk’s competitive compensation package.
- Offers are based on the candidate’s experience and geographic location.
- In addition to base salaries, our compensation package may include annual cash bonuses.
- Commissions for sales roles.
- Stock grants.
- A comprehensive benefits package.
- Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk.
- Les offres sont basées sur l'expérience et la situation géographique du candidat.
- En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces.
- Des commissions pour les postes commerciaux.
- Des attributions d'actions.
- Un ensemble complet d'avantages sociaux.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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