Position:
- Data Scientist - I
Company:
- Zeta
Location:
- Bangalore
Job Type:
- Full-time
Job Mode:
- On-site
Job Requisition ID:
- CEO Office – Engineering
Years of Experience:
- 6 months of relevant experience (even relevant internship experience works)
Company Description:
Zeta is a forward-thinking tech company specializing in the banking industry, founded in 2015 by Bhavin Turakhia and Ramki Gaddipati. The company provides cutting-edge solutions for banks and fintech companies to launch modern banking products. Through its flagship platform, Zeta Tachyon, Zeta offers a cloud-native, fully API-enabled stack that integrates various banking services like core banking, issuance, processing, lending, fraud detection, and risk management. This platform has enabled the issuance of over 20 million cards worldwide.
With a presence across the US, EMEA, and Asia, Zeta collaborates with major financial institutions and fintech companies in various markets to revolutionize customer experiences for multi-million card portfolios. The company has a workforce of over 1,700 employees, with more than 70% working in research and development (R&D). In 2021, Zeta raised $280 million from notable investors, including Softbank and Mastercard, achieving a valuation of $1.5 billion.
Explore more about Zeta at:
- Website: www.zeta.tech
- Careers: careers.zeta.tech
- LinkedIn: Zeta
- Twitter: Zeta
Profile Overview:
As a Data Scientist at Zeta, you will work at the intersection of artificial intelligence and advanced data science techniques. The role offers an opportunity to shape the future of AI applications, contributing to innovative solutions that leverage natural language processing (NLP) and machine learning (ML). You will collaborate closely with cross-functional teams, including Engineering, Product, and Operations, to design and deploy AI systems, chatbots, and various other models that drive key business outcomes.
In this role, you will be involved in:
- Designing AI-driven systems for Email Suites, Conversational Chatbots, and NLP/ML use cases.
- Developing innovative strategies to operationalize AI solutions and models.
- Engaging in exploratory analysis, providing recommendations for future projects.
- Prototyping solutions quickly while engaging in discussions regarding products and features.
- Creating dashboards to visualize results and monitor crucial data metrics regularly.
- Collaborating with software engineers to ensure the scalable and efficient deployment of AI models into production systems.
- Identifying business metrics and recommending features based on AI insights.
This role is ideal for a candidate who is passionate about AI, thrives in collaborative environments, and seeks opportunities for creativity and professional growth.
Qualifications:
To excel in the Data Scientist role at Zeta, candidates are expected to possess the following qualifications and experience:
Educational Background:
- Master’s or Bachelor’s degree in:
- Machine Learning
- Data Science
- Applied Statistics
- Mathematics
- Engineering
- Master’s or Bachelor’s degree in:
Experience:
- A minimum of 6 months of relevant experience (even relevant internship experience works) with a demonstrated ability to develop machine learning solutions.
Key Technical Skills:
- Strong foundation in Natural Language Processing (NLP) and familiarity with:
- Pandas
- NumPy
- SciPy
- Scikit-Learn
- Hands-on experience with Python for data analysis and model development.
- Proficiency in Hadoop, Spark, or other distributed computing systems for large-scale data training.
- Knowledge of supervised and unsupervised machine learning techniques, such as:
- Decision Trees
- Random Forests
- Boosting methods
- Strong foundation in Natural Language Processing (NLP) and familiarity with:
Problem-Solving Skills:
- Ability to frame business problems as data science solutions.
- Hands-on experience running data science projects end-to-end and building Minimum Viable Products (MVPs).
- Effective communication with business stakeholders to understand requirements and present analytical results.
Additional Skills (Good to Have):
- Knowledge of experimental design and experience handling skewed datasets.
- Experience in specific domains like:
- Recommendation Systems
- Chatbots
- Summarization
- Familiarity with both SQL and NoSQL databases.
Additional Info:
At Zeta, we believe in fostering a workplace environment that encourages personal and professional growth. We operate under the guiding principle of “People Must Grow,” where employees are given opportunities to explore their potential while working on disruptive goals. The culture at Zeta emphasizes continuous learning and collaboration, offering a platform for individuals to push their limits and challenge the status quo.
Work Culture at Zeta:
- You will have the opportunity to work with some of the brightest minds in the industry.
- We value diversity of thought, encouraging a culture where new ideas and perspectives are welcomed.
- Zeta offers a unique balance of adventure and exhilaration as you tackle new challenges.
- The company is committed to providing an inclusive work environment, welcoming individuals regardless of their background, gender identity, disability, race, religion, or marital status.
Life at Zeta:
If you are looking for an organization that values your personal growth, encourages creativity, and provides the space to challenge yourself, Zeta is the right place for you. The company is dedicated to helping employees unlock their full potential and grow into the best versions of themselves. By joining Zeta, you’ll work in a high-growth environment, contributing to meaningful projects that impact the future of banking and fintech.
Zeta is an equal opportunity employer. We pride ourselves on providing equal employment opportunities to all individuals, ensuring a fair and welcoming recruitment process. We look for individuals who align with our roles and responsibilities, regardless of their job history or personal background.
Please click here to apply.
Comments
Post a Comment
Please feel free to share your thoughts and discuss.