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Data Scientist

Posted 3 months agoViewed

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πŸ’Ž Seniority level: Junior, 2+ years of experience or the equivalent 5000 hours of deliberate practice

πŸ“ Location: Chile, Argentina, Brazil, Mexico, United States, Americas timezone

πŸ’Έ Salary: $2,000 - $12,000 per month

πŸ” Industry: Credit and financial services

🏒 Company: AltScore

πŸ—£οΈ Languages: English

⏳ Experience: 2+ years of experience or the equivalent 5000 hours of deliberate practice

πŸͺ„ Skills: PythonData AnalysisMachine LearningNumpyStrategyData sciencePandasCommunication SkillsData visualization

Requirements:
  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Economics, or a related field.
  • Proficiency in Python (2+ years of experience or the equivalent 5000 hours of deliberate practice), with experience in data manipulation and analysis libraries (Pandas, NumPy, etc.).
  • Experience with visualization libraries and data representation techniques.
  • Experience working with geospatial data and demographic/economic datasets.
  • Familiarity with statistical analysis and machine learning techniques.
  • Experience working with APIs for data integration.
  • Strong communication skills and the ability to translate complex data insights into business terms.
  • Ability to work autonomously and collaboratively in a fast-paced environment.
Responsibilities:
  • Analyze and interpret large datasets, including geospatial data and demographic/economic data, to generate actionable insights for our credit solutions.
  • Build and optimize machine learning models, leveraging these data sources to improve credit assessments.
  • Collaborate with engineering, product, and business teams to implement data-driven strategies.
  • Design and maintain data pipelines that ingest, clean, and transform various data types.
  • Perform exploratory data analysis and create visualizations to communicate insights to technical and non-technical stakeholders.
  • Contribute to the development of our data architecture and strategy to scale data science capabilities.
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