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About Us: We're a leading software consultancy dedicated to delivering end-to-end development solutions for digital transformation across various sectors. We prioritize our clients, partners, and people, focusing on professional relationships and technical acumen. A key aspect of our philosophy is promoting plurality actions, recognizing differences, and fostering an inclusive culture through representation, support, and employment opportunities. About the Opportunity: The Senior Applied Scientist (AI/ML – Pricing) plays a pivotal role in developing innovative machine learning solutions for retail pricing, addressing complex real-world problems through mathematical objectives. Key Requirements: PhD or Master's degree in Computer Science, Machine Learning, Statistics, Operation Research, or related field 5+ years of industry experience in applied Machine Learning Proficiency in Python libraries (numpy, pandas, polars) and Machine Learning tools (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) and cloud technologies (AWS, GCP, Azure) Preferred 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 Impact-focused and passionate about delivering high-quality models Interview Process: A one-hour coding challenge will be conducted via Python and SQL assessment. Confidentiality: Candidate data shared with us will be kept confidential and not transmitted to third parties. Our commitment to privacy is aligned with global data protection laws, including GDPR, LGPD, CCPA, and CPRA.
