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Sr Data Scientist Lead

3 weeks ago
Argentina, Brazil, Uruguay
Contract
Senior
Data Scientist
Data Science and Analytics
Apache Spark AWS Docker Feature Engineering Generative AI Kubernetes Machine Learning MLOps NumPy Pandas Python Scikit-learn SQL
Apply Now
Coderio

Coderio

Coderio specializes in providing on-demand, enterprise-level software development talent, enabling businesses to quickly assemble and scale their tech teams with experienced developers aligned to their time zones.

Internet Software & Services
51-250
Founded 2018
View All Jobs 13

Description

  • Lead the design and implementation of data science initiatives, methodologies, and best practices.
  • Develop, evaluate, and optimize statistical and machine learning models for complex business problems.
  • Own data science projects end to end, including exploration, feature engineering, validation, deployment, monitoring, and improvement.
  • Design scalable data science and machine learning solutions using AWS services.
  • Provide technical guidance, conduct reviews, and mentor data scientists and other technical team members.
  • Collaborate with business stakeholders, product teams, data engineers, and software engineers to develop data-driven solutions.
  • Monitor model performance and ensure solutions remain accurate, scalable, and aligned with business objectives.
  • Contribute to data science strategy, analytical frameworks, and organizational knowledge sharing.

Requirements

  • 6+ years of professional experience in data science, machine learning, advanced analytics, or a related field, including technical leadership experience.
  • Strong hands-on experience with statistical modeling, machine learning, predictive analytics, experimentation, and data-driven problem solving.
  • Advanced Python proficiency with Pandas, NumPy, Scikit-learn, or similar libraries.
  • Strong knowledge of supervised and unsupervised learning, model evaluation, feature engineering, optimization, and production ML practices.
  • Hands-on experience designing or implementing data science and machine learning solutions in AWS environments.
  • Strong SQL skills and experience with large datasets, data warehouses, and complex data environments.
  • Proven ability to lead technical discussions, make architecture and modeling decisions, and drive projects from concept to production.
  • Advanced English proficiency and clear communication with international stakeholders and leadership.
  • Preferred experience with SageMaker, S3, Glue, Redshift, Lambda, EMR, Athena, MLOps, Spark, Docker, Kubernetes, Generative AI, LLMs, RAG, or NLP.
  • AWS certifications or experience in financial services or other data-intensive industries are preferred.

Benefits

  • 100% remote work.
  • Long-term engagement with international clients.
  • High-impact technical leadership role with influence over data science and machine learning strategy.
  • Collaborative international environment with experienced technical teams.
  • Continuous learning and professional growth opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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