The Role
- This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology.
- If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications
Responsibilities:
- Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualize, design, and construct AI systems for diverse applications, including Email Suites, Conversational chatbots, and various NLP and ML use cases.
- Innovative Model Development: Lead the development of inventive strategies and models, ensuring practical operationalization of AI solutions in alignment with organizational goals.
- Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights.
- Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development.
- Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making.
- Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions.
- Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality
Skills
- Exceptional quantitative and problem-solving skills - capable of tackling complex data-driven challenges and formulating effective solutions.
- Solid understanding of natural language processing (NLP) - Fundamentals, including techniques such as named entity recognition (NER), topic modeling, and sentiment analysis.
- Proven proficiency - In essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn, for data manipulation, analysis, and modeling.
- In-depth expertise in Python programming - Focus on data analysis, model building, and algorithmic implementation.
- Experience with distributed computing frameworks - Hadoop or Spark, for handling large-scale data processing and machine learning tasks.
- Comprehensive understanding - Supervised and unsupervised machine learning techniques, including decision trees, random forests, boosting algorithms, and clustering methods.
Experience and Qualifications
- Master's or Bachelor's degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering
- Minimum 5+ years of relevant experience with a proven track record of developing ML solutions.
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What We Do
Founded in 2015, Zeta is a provider of next-gen credit card processing platform. Zeta’s cloud-native and fully API-enabled stack offers a comprehensive range of capabilities, including processing, issuing, lending, core banking, fraud detection, and loyalty programs. With a strong focus on technology, Zeta has over 1700+ employees and contractors, with more than 70% dedicated to technology roles. Operating across the US, UK, Middle East, and Asia, Zeta has served a global customer base of 35+ clients who have issued over 15 million cards on Zeta's platform to date. Backed by prominent investors such as Softbank Vision Fund 2 and Mastercard, Zeta has raised $280 million, at a valuation of $1.5 billion.









