Data Scientist (Forecasting)

๐Ÿข Nearshore Business Solutions ยท all Nearshore Business Solutions jobs
๐Ÿ“ Colombia
๐Ÿ’ฐ USD 2,000 - 3,500 / monthly
๐Ÿ“… Posted 2026-08-18 ยท via Himalayas
๐Ÿท Data-Scientist,Forecasting-Analyst,Predictive-Modeler,Data-Analyst,Quantitative-Analyst,Forecasting-Data-Scientist,Forecasting-Specialist,Data-Scientist-II
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Job Title: Data Scientist (Forecasting) Location: Remote โ€“ Latin America (Required) Type of Contract: Contractor (6 months, with possible extension to 12 months) Salary Range: $2,000 โ€“ $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: - 3โ€“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 Originally posted on Himalayas

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