Data Science Lead for Ecommerce Innovation
6 days ago
We are Rokt, a leading ecommerce company driving growth through AI-based relevance. Our platform powers billions of transactions globally, and we're looking for a talented Data Science Lead to join our team.
As a Senior/Staff Machine Learning Engineer at Rokt, you will be responsible for designing, building, and productionizing proprietary machine learning models to solve business challenges. You will collaborate closely with product managers and engineers to understand business priorities, frame machine learning problems, and architect solutions.
**Responsibilities:**
- Develop and deploy machine learning models, including data preparation, feature engineering, and model training
- Work with cross-functional teams to identify business opportunities and develop solutions
- Contribute to the development of high-quality codebase, ensuring scalability, reliability, and maintainability
- Stay up-to-date with emerging trends and technologies in machine learning and deep learning
- Share knowledge and expertise through technical talks, blog posts, and internal training sessions
**Requirements:**
- Bachelor's degree in Computer Science or related field, or equivalent practical experience
- 5+ years of experience in developing production-grade machine learning systems, preferably with applied ML in Ads and Ecommerce
- Experience with Bayesian methods, Reinforcement learning, Deep learning Architectures, and Recommendation systems
- Excellent communication and collaboration skills, with ability to work effectively in a dynamic environment
- Experience with Kubernetes, Kubeflow, TFX, and Feature Store is a plus
**Salary:** $235,000 - $300,000 per year, depending on location and experience
**Benefits:**
- Competitive salary and bonus structure
- Stock options and equity participation
- Comprehensive health insurance and retirement plan
- Flexible work arrangements, including remote work options
- Ongoing training and professional development opportunities
- Collaborative and dynamic work environment
We believe that great technology is built by diverse teams, and we are committed to creating an inclusive workplace where everyone can thrive. If you are passionate about using data science to drive business innovation, please apply to join our team.
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