1172 - Senior Data Scientist
GoFasti, a LatAm Talent-as-a-Service firm, is hiring a remote Senior Data Scientist for a client. The role builds, deploys and maintains LTV, churn, retention and segmentation models for consumer app/web products, runs experiments, and applies LLMs to behavioral data — using Python, SQL, ML platforms and AI tools.
- Compensation
- $4K–$5.5K / mo
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 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; structure the problem before reaching for a tool
- Strong communication skills, turning complex analysis into clear business recommendations
- Fluent English and at least 4 hours of overlap with US Eastern business hours
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
Full description
We Make Remote Work Remarkable • TopTalent from LatAm
Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.
We need an English-fluent Senior Data Scientist, based in Latin America, available to work remotely.
We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.
Are you the one we are looking for?
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