About us: Avenue Code is a leading software consultancy that delivers end-to-end development solutions for digital transformation. We care deeply about our clients, partners, and people.
We pride ourselves on our technical acumen, collaborative problem-solving ability, and professional teamwork. Our company philosophy emphasizes partnership over vendor relationships, which reflects in our investment in professional relationships.
Avenue Code has promoted plurality actions for over 10 years. We recognize differences, foster a safe environment, provide employment opportunities, representation, and support to promote an increasingly equitable culture.
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About the opportunity:
This role plays a crucial part in developing and deploying innovative machine learning solutions for retail pricing. You will understand customer and operational business constraints and translate complex real-world problems into well-defined mathematical objectives.
Key Responsibilities
* Develop and deploy machine learning solutions for retail pricing.
* Translate complex problems into mathematical objectives.
* Collaborate with cross-functional teams to drive business outcomes.
Requirements
* PhD or Masters degree in Computer Science, Machine Learning, Statistics, or related field.
* 5+ years of industry experience in applied Machine Learning.
* Deep understanding of ML best practices, algorithms, and experiment design.
* Proficiency with scientific libraries in Python and Machine Learning tools.
* Strong data engineering skills and experience working with large-scale datasets.
* Familiarity with big data tools and cloud technologies.
Preferred Qualifications
* PhD preferred.
* Background in applying ML techniques to solve real-world business problems in the retail sector.
* Familiarity with MLOps tools and pipelines.
What We Offer
* A competitive compensation package.
* Ongoing professional development opportunities.
* A dynamic and supportive work environment.
We follow global data protection laws, such as GDPR, LGPD, CCPA, and CPRA. Candidate data shared with Avenue Code will be kept confidential and not transmitted to disinterested third parties.