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Senior Data Science

March, 30

  • usaMexico
  • usaFull Time
  • usaData Science
  • usaRemote
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Overview: - Kueski is committed to improving financial lives in Mexico, leading the market for BNPL and online credit since 2012. - Recognized globally for innovative financial services, with CNBC and AMITAI acknowledging its excellence and ethics. - Holds HRC Equidad MX 2025 certification and is listed among the top companies for LGBTQ+ equality and female talent. Key Responsibilities: - Develop and enhance products using machine learning and data analysis. - Collaborate with cross-functional teams to create reliable AI technology. - Monitor KPIs, ensure performance standards, and take corrective actions. - Conduct data analysis to understand product performance and identify improvement areas. - Develop new experiments and feature engineering, participate in product development stages. - Provide technical guidance, code reviews, and feedback to team members. - Document the machine learning process and collaborate with quality control engineers. Requirements/Skills/Qualifications: - Degree in Engineering, Physics, Mathematics, or equivalent experience. - Strong analytical skills and clear communication abilities. - Advanced understanding of machine learning algorithms and their industrial applications. - Experience with new technologies and methodologies. - Effective collaboration with stakeholders across different areas. - Strong interpersonal skills for team influence and effective communication. - Autonomy in managing data science projects with significant business impact. - Proficiency in Python, pandas, numpy, matplotlib, SQL, and familiarity with AI libraries like Tensorflow or Pytorch. - Comfort with Unix-based systems. - Fluency in English. - Experience in MLOps is desired. Compensation & Benefits: - Competitive salary. - Comprehensive health insurance, mental and emotional well-being programs. - Flexible work arrangements. - Commitment to diversity, equity, and inclusion. - Recognition of career and personal development plans. - Supportive and high-performance work environment. (Note: Specific compensation details and benefits were not provided in the job description.)
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