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Data Scientist

5 months, 4 weeks ago
Argentina
Full-time
Senior
Data Scientist
Data Science and Analytics
Agile Apache Airflow AWS Azure CI/CD Databricks dbt Deep Learning Docker GCP Generative AI Git Grafana Machine Learning MLflow Prefect Prometheus Python SQL
Apply Now
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017
View All Jobs 18

Description

  • Design and implement machine learning models for forecasting, recommendation systems, pricing, churn, and other business needs.
  • Perform exploratory data analysis to identify trends, anomalies, and relationships in data.
  • Collaborate with stakeholders to define problems, success metrics, and data requirements.
  • Build scalable, maintainable machine learning workflows and support model deployment.
  • Monitor model performance and retrain models as needed to maintain reliability.
  • Communicate insights and results clearly to both technical and non-technical audiences.
  • Work closely with product, engineering, and business teams to integrate models into solutions.
  • Mentor junior team members and promote data science best practices.
  • Contribute to internal standards for testing, reproducibility, and documentation.
  • Stay current with advances in machine learning and AI and bring new ideas to the team.

Requirements

  • Expert knowledge of Python for data analysis and machine learning modeling.
  • Hands-on experience with common machine learning libraries and frameworks.
  • Strong understanding of supervised and unsupervised learning, time series analysis, and A/B testing.
  • Experience deploying machine learning models into production and maintaining them.
  • Proficiency in writing clean, reproducible, production-grade code.
  • Solid knowledge of SQL and experience with relational databases and/or data lakes containing structured and unstructured data.
  • Demonstrated ability to communicate complex technical concepts to business stakeholders clearly and effectively.
  • Experience working in cross-functional teams with product, engineering, and business units.
  • Experience with version control using Git and agile development practices.
  • Experience with recommendation systems, dynamic pricing algorithms, or customer segmentation techniques is preferred.
  • Experience working with cloud platforms such as AWS, GCP, or Azure and associated data/ML services is preferred.
  • Knowledge of Docker, Airflow or Prefect, and MLflow or similar tools is preferred.
  • Familiarity with ML observability and monitoring tools such as Evidently, WhyLabs, or Prometheus plus Grafana is preferred.
  • Knowledge of CI/CD pipelines for ML systems is preferred.
  • Knowledge of Poetry or uv is preferred.

Benefits

  • Remote-first culture with the ability to work from anywhere.
  • In-company English lessons.
  • Wellhub or sports club stipend.
  • Fully covered certifications for AWS, DBT, Google Cloud, Azure, and Databricks.
  • Food credits via Pedidos Ya.
  • Birthday off plus an extra vacation week.
  • Referral bonuses.
  • Annual team trip.

Interested in this position?

Apply directly on the company website

Apply Now

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