Senior Applied Scientist

About the company: Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical.We're privately held, profitable, and have been on a solid growth trajectory since day one.We care deeply about our clients, our partners, and our people.We prefer the word 'partner' over 'vendor', and our investment in professional relationships is a reflection of that philosophy.We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.About the opportunity:Remote : ContractThe Senior Applied Scientist (AI/ML – Pricing) plays a crucial role in the development and deployment of innovative machine learning solutions for retail pricing that includes understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectivesMinimum Requirements: - PhD or Masters degree in Computer Science, Machine Learning, Statistics, Operation Research or related field - 5+ years of industry experience in applied Machine Learning, 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale- Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design- Proficiency with scientific libraries in Python (numpy, pandas, polars) and Machine Learning tools and frameworks (ScikitLearn, Tensorflow, Keras, PyTorch)- Strong data engineering skills and experience working with large scale datasets- Experience with big data tools (Apache Beam, Apache Kafka, Spark)- Experience with cloud technologies AWS, GCP or Azure - Fluency in Python, SQLPreferred Requirements: - PhD preferred (CS, ML, AI, Statistics, Operation Research or related field) - Background in applying ML techniques to solve real-world business problems in the retail sector, especially pricing.- Familiarity with MLOps tools and pipelines.- Impact-focused and passionate about delivering high-quality models.- Demonstrated leadership experience, with the ability to lead and inspire a team.Interview : one-hour Python and SQL coding challenge.Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA.The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions.As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.