1172 - Senior Data Scientist
GoFasti
WorldwideremotePosted 7 days ago
Skill Required
Data-ScientistMachine-Learning-EngineerAI-EngineerSenior-Data-ScienceSenior-Data-Scientist-JobsSenior-Data-Science-SpecialistSenior-Machine-Learning-Data-ScientistData-ScienceData ScientistMachine Learningdata engineeringScikit-learnGCPEngineeringStatisticsObservabilitysimilar)analyticsMLflowbuildingAirflowPythonPandasdesignCloudDesign PatternsAPIsGenerative AIdbtSQLAWSandAIFulltime
Key highlights
- Salary: (USD) $4,000 - $5,500 per month
- Experience: 5+ years in data science, statistical modeling or machine learning
- Location: Based in Latin America
- Requirement: Fluent English
- Requirement: At least 4 hours of overlap with US Eastern business hours
- Employment Type: Full time contract
Role overview
GoFasti is a Talent-as-a-Service bridging the gap between world-class developers and designers from LatAm and first-class companies globally. They are seeking an English-fluent Senior Data Scientist based in Latin America for a remote role, looking for a proactive individual with exceptional communication skills and strong attention to detail.
Responsibilities
- Develop, deploy and maintain predictive models for lifetime value (LTV), churn and retention across mobile apps and web/browser products
- Own the modeling roadmap for your area, from problem framing through production and ongoing monitoring
- Build cohort and LTV models that inform user acquisition budgets and payback decisions
- Build user segmentation and propensity models that support personalization and targeting
- Improve model accuracy over time through validation, backtesting and new data sources
- Design experiments and causal analyses that measure the true impact of product and marketing changes
- Identify early behavioral signals that predict conversion, churn and long-term value
- Apply LLMs and machine learning to classify unstructured text and behavioral signals into interest categories and product and brand intent
- Partner with data engineering to productionize models and keep their inputs reliable
- Build internal AI-powered analytics tools and data products
- Explain model results, assumptions and confidence levels clearly to stakeholders and leadership
- Set modeling standards, documentation and best practices for the team
- Mentor other analysts and data scientists and share best practices across the team
Requirements
- 5+ years of experience in data science, statistical modeling or machine learning, ideally with consumer app or web data
- Strong Python (pandas, scikit-learn or similar) and advanced SQL
- Experience deploying models to production and monitoring them over time
- Solid grounding in statistics, forecasting and experimentation
- Hands-on experience with LLM APIs, prompt design or building AI-powered data tools
- Daily use of AI tools as a development partner, such as Claude, Claude Code or Claude Cowork
- Sound judgment with incomplete or noisy data; you structure the problem before reaching for a tool
- Strong communication skills, including turning complex analysis into clear business recommendations
- Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)
- Based in Latin America
Nice to have
- Experience with ad-monetized or subscription consumer apps
- Experience with recommendation systems, personalization or audience segmentation for ad targeting
- Experience with ML platforms on AWS or Google Cloud, such as SageMaker or Vertex AI
- Familiarity with MLOps and orchestration tools such as MLflow, Airflow or dbt
- Familiarity with Bayesian methods, uplift modeling or multi-armed bandits
Additional details
- The salary range offered for this position varies from (USD) $4,000 - $5,500 per month, depending on seniority and skillset.
- This position is for a full time contract, through a payroll platform.
- The talent will work remotely allocated at our client.
- Process steps: TBD > Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
- Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
- Note for Candidates Approached Directly: If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
- Originally posted on Himalayas