Data Scientist

Overview

Job Description

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

Required Skills

• - 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.

Benefits

• Base Salary: $2,000 - $12,000 USD per month, depending on skills according to our engineering scale L3 - L8.
• - Performance Bonus: Based on achievement of agreed KPIs.
• - Unlimited PTO (with an expectation of taking at least 3-4 weeks per year off)
• - Employee stock ownership plan (ESOP) - Every single employee gets an ESOP. At AltScore, we believe that every member of the company should feel like a partner from day 1.
• - Remote: At AltScore, we are a fully remote company, and we encourage employees to work from wherever they are most comfortable and productive. Employees must work in the Americas timezone.