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Nearshore Business Solutions logo

Data Scientist (Forecasting)

Nearshore Business Solutions
Posted May 28, 2026, 1:01 AM UTC
🌍Latin America🏠Remote📁Data & Analytics
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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

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