Responsibilities
- Develop and implement predictive models, segmentation algorithms, and other data science solutions
- Analyze large datasets to extract insights and identify patterns relevant to marketing performance
- Build and maintain data pipelines for model training and deployment
- Collaborate with product and engineering teams to integrate models into our platform
- Communicate complex findings to technical and non-technical stakeholders
- Stay current with the latest advancements in data science and machine learning
- 3+ years of professional experience in data science or related field
- Strong programming skills in Python and SQL
- Experience with data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
- Solid understanding of statistical modeling and machine learning techniques
- Experience working with large datasets and distributed computing frameworks
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to explain complex concepts
Preferred qualifications
- Experience in marketing analytics or digital advertising
- Knowledge of cloud-based data platforms (AWS, GCP, Azure)
- Experience with A/B testing and causal inference
- Familiarity with MLOps tools and practices
- Master's or PhD in a quantitative field
Benefits
- Competitive salary and performance bonuses
- Remote-first culture with flexible working hours
- Comprehensive health and dental insurance
- 5% employer pension contribution
- Home office setup allowance
- Professional development budget
- 25 days annual leave plus bank holidays
- IMPORTANT***
Tags & focus areas
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