Job Duties and Responsibilities:

Design, develop, and maintain dynamic pricing models.
Perform exploratory data analysis and recommend actionable strategies.
Collaborate with stakeholders to translate business needs into technical solutions.
Engage in feature engineering to improve model performance.
Conduct data quality assessments and implement strategies to enhance data integrity.
Participate in A/B test design and execution to validate model hypotheses.
Prepare and present findings and recommendations to diverse audiences.
Monitor model performance and make necessary adjustments.

Requirements:

Proficient in Python and R.
Demonstrated experience with machine learning models and techniques.
Solid understanding of AWS, particularly SageMaker.
Experience with SQL and familiarity with data warehousing solutions.
Strong analytical skills and creative problem-solving abilities.
Excellent communication skills and ability to work collaboratively.
Desirable skills include experience in dynamic pricing or recommendation systems, familiarity with CI/CD practices, and knowledge of data visualization tools.

Digital-first approach with the ability to work from anywhere.
Remote work model with flexible working conditions.
Exciting projects across various industries that challenge and spark creativity.
Continuous learning and development opportunities to boost expertise.
Collaboration with a diverse and cross-cultural team of passionate technologists.