Data Scientist
First seen by Alion on Sep 8, 2026.
Job Description :
Role & Responsibilities :
Marketing & Revenue Modelling :
- Own end-to-end modelling of LTV, user segmentation, retention, and marketing efficiency to inform media optimization and value attribution.
- Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-value cohorts, and power strategic bidding and targeting.
Product & Growth Analytics :
- Work closely with Product Insights and General Managers (GMs) to define core metrics, KPIs, and success frameworks for new launches and features.
- Conduct deep-dive analysis of user behaviour, funnel performance, and product engagement to uncover actionable insights.
- Monitor and explain changes in key product metrics, identifying root causes and business impact.
- Work closely with Data Engineering to design and maintain scalable data pipelines that support machine learning workflows, model retraining, and real-time inference.
Predictive Modelling & Machine Learning :
- Build predictive models for conversion, churn, revenue, and engagement using regression, classification, or time-series approaches.
- Identify opportunities for prescriptive analytics and automation in key product and marketing workflows.
- Support development of reusable ML pipelines for production-scale use cases in product recommendation, lead scoring, and SEM planning.
Collaboration & Communication :
- Present insights and recommendations to a variety of stakeholders from ICs to executives in a clear and compelling manner.
- Translate business needs into data problems, and complex findings.
Preferred Candidate Profile :
What You'll Bring :
Minimum Qualifications :
- Bachelors degree in a quantitative field (Mathematics, Statistics, CS, Engineering, etc.).
- 5+ years in data science, growth analytics, or decision science roles.
- Strong SQL and Python skills (Pandas, Scikit-learn, NumPy).
- Hands-on experience with Tableau, Looker, or similar BI tools.
- Familiarity with LTV modelling, retention curves, cohort analysis, and media attribution.
- Experience with GA4, Google Ads, Meta, or other performance marketing platforms.
- Clear communication skills and a track record of turning data into decisions.
Nice to Have :
- Experience with BigQuery and Google Cloud Platform (or equivalent).
- Familiarity with affiliate or lead-gen business models.
- Exposure to NLP, LLMs, embeddings, or agent-based analytics.
- Ability to contribute to model deployment workflows (e.g., using Vertex AI, Airflow, or similar).
Skills
Data Science, Data Scientist, Machine Learning, Prescriptive Analytics, Python, SQL, Mathematical Modeling, Statistical Modeling