Job Openings Data Scientist (Forecasting)

About the job Data Scientist (Forecasting)

Job Title: Data Scientist (Forecasting)
Location: Remote – Latin America (Required)
Type of Contract: Contractor (6 months, with possible extension to 12 months)
Salary Range: $2,000 – $3,500 USD per month
Language Requirements: Professional English proficiency

We are seeking a skilled Data Scientist with forecasting and predictive modeling experience to join our growing team. You will play a key role in supporting and improving data science models that power forecasting operations for a leading platform. Your work will directly impact model accuracy, response efficiency, and client-facing data solutions.

Key Responsibilities:

  • Support and maintain forecasting models used within the company platform
  • Improve response time and quality for forecast engine support tickets
  • Analyze model performance and implement enhancements to improve predictive accuracy
  • Collaborate with onboarding and support teams to troubleshoot and resolve data-related issues
  • Assist in data science product development and optimization initiatives
  • Work with large datasets using Python, SQL, and Snowflake
  • Contribute to potential client implementations and deployment of forecasting solutions

Must-Have Qualifications:

  • 3–5 years of experience in Data Science or related field
  • Strong experience with predictive modeling and forecasting techniques
  • Proficiency in Python for data analysis and model development
  • Advanced SQL skills for data querying and manipulation
  • Hands-on experience with Snowflake and  similar cloud data platforms
  • Experience supporting or maintaining production-level data science models

Preferred Qualifications:

  • Experience working with supply chain, demand forecasting, or retail data models
  • Familiarity with data science product lifecycle and client-facing environments
  • Exposure to tools/platforms like Anaplan or similar enterprise planning solutions
  • Experience working in support or operations-focused data science teams