Data Scientist

Overview This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in Colombia. This role offers the opportunity to drive data-informed product decisions for high-impact digital products. You will analyze user behavior, size opportunities, and evaluate the effectiveness of product features through advanced analytics and experimentation. Working closely with product managers, engineers, and designers, you will translate complex datasets into actionable insights that directly inform strategy. The position emphasizes rigorous data practices, A/B testing, and experimentation, enabling you to influence key product decisions. This is a senior-facing role where analytical expertise meets strategic impact, and your work will help shape product experiences for millions of users. The environment is collaborative, remote-friendly, and aligned with U.S. Central Time business hours, providing flexibility while maintaining strong team integration. Accountabilities Analyze user behavior patterns using Python and SQL to generate actionable insights. Design, execute, and interpret experiments, including A/B tests, to validate product changes. Size opportunity areas and estimate potential impact to guide product prioritization. Recommend improvements to product features based on quantitative analysis and behavioral signals. Partner with product managers, engineers, and designers to prioritize initiatives using data-driven evidence. Translate complex analytical findings into clear recommendations for non-technical stakeholders. Provide long-term strategic guidance by identifying trends and patterns across large-scale datasets. Requirements 5+ years of experience in product-focused data science, with a proven track record influencing product decisions. Strong proficiency in Python (pandas, numpy, Jupyter) and advanced SQL for large-scale data analysis. Solid foundation in statistics and experimentation methodologies, including A/B test design and interpretation. Demonstrated ability to size opportunities and assess feature impact quantitatively. Experience in communicating complex analyses effectively to non-technical stakeholders. Familiarity with data visualization best practices. Ability to collaborate across time zones and work remotely while overlapping U.S. Central Time business hours. Preferred Qualifications Experience building and deploying machine learning models using scikit-learn, TensorFlow, or PyTorch. Engineering-oriented data science background with exposure to data modeling, architecture, or production data pipelines. Knowledge of experimentation platforms and product analytics tooling. Benefits Remote-first role with flexibility to work from home in Brazil. Opportunity to work on strategic product initiatives with measurable impact. Collaboration with senior, data-driven product teams and cross-functional partners. Professional growth through exposure to product strategy, experimentation, and advanced analytics. Participation in shaping products used by millions of users. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best Data Privacy Notice By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr