- Company Name
- Gousto
- Job Title
- Data Scientist
- Job Description
-
**Job Title**
Data Scientist – Customer Behavior & Modeling
**Role Summary**
Embedded in the Activate tribe, this role develops and deploys machine learning and reinforcement learning models that drive customer acquisition, retention, and personalization across the customer journey. The data scientist owns the end‑to‑end process from ideation to production, working closely with product, engineering, and analytics teams to deliver data‑driven insights and solutions.
**Expectations**
- Own the full model lifecycle: ideation, data prep, model building, evaluation, deployment, monitoring, and iteration.
- Deliver measurable business impact through quantified experiments and continuous performance measurement.
- Communicate complex technical concepts to non‑technical stakeholders and influence product strategy.
- Collaborate with cross‑functional squads and prioritize model development aligned with business goals.
**Key Responsibilities**
- Design, develop, test, and deploy machine learning and reinforcement learning models for customer behavior analysis (personalization, churn, campaign optimization, lifetime value, price optimization, etc.).
- Collaborate with business users, product managers, and analysts to translate business needs into model requirements and evaluate model performance.
- Report on model status, impact, and blockers to stakeholders and the wider team.
- Prioritize and scope upcoming model projects in partnership with the Activate tribe leadership.
- Educate senior stakeholders and the broader team on data science principles, model value, and best practices.
- Maintain and automate data pipelines, model retraining, and monitoring workflows.
**Required Skills**
- Proven experience building machine learning models in customer acquisition or retention domains.
- Strong Python programming skills with experience in libraries such as pandas, scikit‑learn, TensorFlow/PyTorch.
- Familiarity with Databricks or similar data‑science platforms.
- Ability to design and run controlled experiments, measure ROI, and optimize model performance.
- Excellent verbal and written communication; able to simplify technical concepts for non‑technical audiences.
- Commercial awareness and an iterative, data‑driven approach to product development.
- Comfortable working in fast‑paced, high‑growth technology environments.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field (Master’s preferred).
- Valid certifications in data science or machine learning (e.g., Databricks Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate) are a plus.