Data Scientist - I

About Zeta
Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.
Our flagship processing platform - Zeta Tachyon - is the industry's first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally.
Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.
Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021.
Learn more @ www.zeta.tech, careers.zeta.tech, Linkedin, Twitter

About 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

What is the job like?

• Partner with Engineering, Product, and Operations teams to conceive, design & build AI systems for Email Suites, Conversational chatbots, and various other NLP and ML use cases.
• Develop innovative strategies and models to operationalize the solutions.
• Generate ideas for exploratory analysis to shape future projects and provide recommendations for actions.
• Rapidly prototype solutions and drive/be involved in product and feature discussions.
• Create dashboards and documentation to communicate results and monitor key data metrics regularly.
• Collaborate with software engineers to deploy and integrate data models into production systems, ensuring scalability, reliability, and efficiency.
• Identify key business metrics and recommend product features if needed.

Who should apply for this role?

• Master/Bachelor's degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering.
• Minimum 6 months of relevant experience with a proven track record of developing ML solutions.
• Strong quantitative and problem-solving skills.
• Solid understanding of NLP fundamentals and knowledge of essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn.
• A good hands-on experience with Python used in data analysis and model building.
• Experience with Hadoop, Spark, or other distributed computing systems for large-scale training.
• Strong understanding of supervised (decision trees, random forests, boosting, etc.) and unsupervised ML techniques.
• Ability to break down and frame business problems into data science solutions and hands-on capability to create MVP out of it and run a DS project end to end independently
• Communication skills to engage with Business stakeholders to understand their needs and effectively communicate the results of the analytical solution
• Able to work effectively in a Team.
• Ability to write clear and concise technical documentation

Good to have skills

• Knowledge of experimental design and working with skewed datasets.
• Prior work in any of the following areas: Recommendation Systems, Chatbots, Summarization, etc.
• Knowledge of database systems, SQL, and NoSQL databases.

Experience and Qualifications

• Master's or Bachelor's degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering
• Minimum 6 months of relevant experience with a proven track record of developing ML solutions.