Description
We are seeking a Senior Data Scientist to join our team, focusing on developing and managing state-of-the-art predictive algorithms for one-to-one personalization at scale. You will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across marketing and digital channels.
Responsibilities:
- Model Development: Design, build, and optimize machine learning models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches.
- Experimentation & Measurement: Develop testing frameworks to rigorously measure the impact of personalization initiatives within marketing optimization.
- Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions.
- Scalability & Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance.
- Innovation: Stay current on advances in machine learning and artificial intelligence, and evaluate their application for personalization use cases.
Requirements:
- 4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics, Statistics) or equivalent industry experience.
- 3+ years of applied data sciences experience, end-to-end with digital marketing and measurement teams.
- Experience with statistical tools of A/B testing, personalization/recommendations, applied machine learning, and deep learning.
- Strong hands-on experience in Python, SQL, and modern machine learning libraries such as TensorFlow, PyTorch, Scikit-learn.
- Experience with large-scale data platforms – GCP Vertex AI, Spark, Databricks, Snowflake, etc.
- Proven track record of building and deploying applied machine learning models in production environments.
- Extensive problem-solving skills, motivated team player with ability to collaborate effectively across global teams, and excellent communication skills.
Benefits:
- Competitive salary: $98,000.00 - $176,000.00 per year
- Comprehensive health benefits and programs
- 401(k)
- Employee discount
- Short-term disability
- Long-term disability
- Paid sick leave
- Paid national holidays
- Paid vacation