Middle Data Scientist

Business Data Scientist | Consumer Analytics — Kin AnalyticsMiddle Data Scientist | Kin AnalyticsAt Kin Analytics, our Data Scientists turn messy consumer and behavioral data into models that actually move the needle — from customer segmentation to demand forecasting to personalization engines. You'll work close to the data and close to the business problem, building solutions that ship, not just notebooks that impress.We're a B Corp data analytics and AI consultancy serving clients across 30+ countries. Our team is 100% remote, distributed across Latin America, Europe, and North America.
What you'll doDesign and build models for consumer-facing use cases: segmentation, churn, demand forecasting, recommendation, personalizationTake a problem from raw, messy data through feature engineering, modeling, and validationCollaborate with senior team members and clients to translate business questions into analytical approachesBuild and maintain data pipelines that feed your models — with an eye toward reproducibility, not one-off scriptsSupport model deployment and monitoring, working alongside more senior or forward-deployed team membersCommunicate findings clearly to both technical and non-technical stakeholdersContribute to internal playbooks, reusable code, and team knowledge
What we're looking for1–2 years of hands-on experience in data science or applied analytics — industry experience preferred (academic years discounted)Solid Python for data science: pandas, scikit-learn, and at least working familiarity with gradient boostingComfortable writing SQL and working with real, imperfect data (not clean Kaggle datasets)Understanding of the ML lifecycle: from EDA to model evaluationExperience with Microsoft Azure (Azure ML, Azure Data Factory, Databricks on Azure, or similar platform services)Exposure to version control (Git) and basic production practicesComfort with AI-native tools: Claude, agents, MCPsAbility to explain technical trade-offs to non-technical audiencesFluent written and spoken English
Nice to haveBackground or coursework in consumer/retail/CPG analyticsExperience with recommendation systems or customer segmentationExposure to A/B testing or experiment designPrior consultancy or client-facing experience (not required — this is a support/build role, not a lead role)
What we offer100% remote — work from anywhereNo fixed schedules — manage your own timeUnlimited PTO (where applicable)Performance bonus tied to resultsReal client problems from day one, with senior support — not busyworkContinuous learning and growth in an AI-native organization
DisclaimerKin Analytics is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome all qualified applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, disability, or veteran status.