Middle Data Scientist - Consumer Analytics

• 1-2 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 boosting
• Comfortable writing SQL and working with real, imperfect data (not clean Kaggle datasets)
• Understanding of the ML lifecycle: from EDA to model evaluation
• Experience with Microsoft Azure (Azure ML, Azure Data Factory, Databricks on Azure, or similar platform services)
• Exposure to version control (Git) and basic production practices
• Comfort with AI-native tools: Claude, agents, MCPs
• Ability to explain technical trade-offs to non-technical audiences
• Fluent written and spoken English

Nice to have

• Background or coursework in consumer/retail/CPG analytics
• Experience with recommendation systems or customer segmentation
• Exposure to A/B testing or experiment design
• Prior consultancy or client-facing experience (not required - this is a support/build role, not a lead role)

What we offer

• 100% remote - work from anywhere
• No fixed schedules - manage your own time
• Unlimited PTO (where applicable)
• Performance bonus tied to results
• Real client problems from day one, with senior support - not busywork
• Continuous learning and growth in an AI-native organization

Disclaimer

• Kin 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.

At 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 do

• Design and build models for consumer-facing use cases: segmentation, churn, demand forecasting, recommendation, personalization
• Take a problem from raw, messy data through feature engineering, modeling, and validation
• Collaborate with senior team members and clients to translate business questions into analytical approaches
• Build and maintain data pipelines that feed your models - with an eye toward reproducibility, not one-off scripts
• Support model deployment and monitoring, working alongside more senior or forward-deployed team members
• Communicate findings clearly to both technical and non-technical stakeholders
• Contribute to internal playbooks, reusable code, and team knowledge