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Senior data scientist - pricing optimization

São Luís
beBeeMachineLearning
Data Scientist
Anunciada dia 18 dezembro
Descrição

About Us
Avenue Code is a leading software consultancy that delivers end-to-end development solutions for digital transformation. We focus on understanding our clients' needs and provide tailored solutions to drive business growth.

We have a strong commitment to plurality actions, recognizing the importance of diversity and inclusion in the workplace. Our teams are warm and professional, with a collaborative approach to problem-solving.

About the Opportunity
Join us as we seek a highly skilled Senior Applied Scientist (AI/ML – Pricing) to lead our machine learning initiatives. In this role, you will play a key part in developing and deploying innovative pricing solutions using cutting-edge technologies.

The ideal candidate will possess a deep understanding of machine learning principles, algorithms, and techniques. They should also have expertise in building, deploying, and managing machine learning models in production environments at scale. A strong background in data engineering, cloud technologies, and Python programming is essential. Additionally, experience with big data tools and MLOps pipelines would be a significant advantage.

Key Responsibilities:
• Develop and deploy machine learning models for retail pricing
• Collaborate with cross-functional teams to design and implement data-driven solutions
• Work closely with stakeholders to understand business requirements and translate them into technical specifications
• Design and implement data pipelines using big data tools and cloud technologies
• Ensure high-quality model performance and scalability
• Lead and mentor junior team members to achieve team goals

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 and deep learning
• Proficiency in Python, SQL, and scientific libraries such as NumPy and pandas
• Strong data engineering skills and experience working with large-scale datasets
• Experience with big data tools such as Apache Beam, Apache Kafka, and Spark
• Familiarity with cloud technologies AWS, GCP, or Azure
• Fluency in English and excellent communication skills

Benefits
We offer a competitive compensation package, including health insurance, retirement savings plan, and paid time off. You will also have access to ongoing training and development opportunities to enhance your skills and career progression.

How to Apply
If you are passionate about applying machine learning techniques to solve real-world business problems, please submit your application with a cover letter and resume. A one-hour Python and SQL coding challenge will follow the initial screening process. We look forward to hearing from you soon.

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