Data Scientist II at Zeta

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, BankingIndustries

Requirements

Strong quantitative and problem-solving skills
Solid understanding of NLP and knowledge of essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn
Good hands-on experience with Python used in data analysis and model building
Experience with distributed computing

Responsibilities

Collaborate with software engineers to deploy and integrate data models into production systems, ensuring scalability, reliability, and efficiency
Identify key business metrics, offering insights that inform decision-making processes and recommending product features when necessary
Collaborate with cross-functional teams to brainstorm and refine ideas for AI-powered solutions and various NLP/ML use cases. Translate business requirements into technical specifications for models and algorithms. Design and develop innovative solutions that address specific business challenges and enhance user experience
Develop and implement machine learning models using Python, R, or other relevant programming languages. Employ deep learning techniques and algorithms to extract meaningful insights from large datasets. Continuously improve and optimize models to achieve high accuracy and performance
Conduct exploratory data analysis to uncover patterns, trends, and hidden relationships within data. Utilize statistical and data mining techniques to extract valuable insights from unstructured data. Generate actionable recommendations and insights for future product development and feature enhancements
Quickly prototype AI solutions to test and validate their effectiveness. Collaborate with software engineers to seamlessly integrate AI models into production systems. Ensure the scalability, reliability, and efficiency of deployed AI solutions
Effectively communicate technical concepts and findings to non-technical stakeholders. Create clear and comprehensive documentation to capture project details, methodologies, and results. Collaborate with software engineers, product managers, and operations teams to bring AI solutions to life
Identify key business metrics that can be positively impacted by AI solutions. Track and monitor the performance of AI models on relevant business metrics. Recommend product features and enhancements based on data-driven insights and AI-generated recommendations

Skills

Key technologies and capabilities for this role

AIMachine LearningNLPData ModelingModel DeploymentProduction IntegrationScalabilityReliabilityBusiness MetricsAlgorithms

Questions & Answers

Common questions about this position

What is the salary for the Data Scientist II position?

This information is not specified in the job description.

Is this Data Scientist II role remote or does it require a specific location?

This information is not specified in the job description.

What programming languages or technical skills are required for this role?

The role requires developing machine learning models using Python, R, or other relevant programming languages, along with deep learning techniques, NLP/ML use cases, and exploratory data analysis.

What is the work environment like at Zeta?

Zeta offers a collaborative environment where you thrive with cross-functional teams, focusing on AI innovation, rapid prototyping, and driving impactful projects for professional growth.

What makes a strong candidate for the Data Scientist II role?

Strong candidates are passionate about AI, experienced in model development and optimization, skilled in integrating models into production, and able to conduct exploratory data analysis to provide actionable business insights.

Zeta

Cloud-native payment card processing platform

About Zeta

Zeta provides a platform for payment card processing that is designed for banks, financial institutions, and fintech companies. Their main product, the Omni Stack, allows clients to easily create and manage digital credit, debit, and prepaid card programs. This platform works by integrating with existing systems through APIs, which helps streamline the payment processing experience. Zeta stands out from its competitors by focusing on cloud-native solutions and ensuring compliance with important regulations, which helps build trust with their clients. The company's goal is to make payments seamless and less noticeable in everyday transactions, moving towards a future where payments are 'invisible'.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$369.6MTotal Funding

LATE_VCCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Risks

Competition from fintech startups may erode Zeta's market share.

Data privacy concerns could arise as Zeta expands globally.

Dependence on key partnerships like Sparrow poses risks if disrupted.

Differentiation

Zeta's Tachyon platform powers Sparrow's top-rated credit card for underserved markets.

Zeta's Omni Stack enables rapid launch of digital card programs for financial institutions.

Zeta is recognized for compliance with ISO IEC 27001, PCI DSS 4.0, and SOC 2 Type 2.

Upsides

Zeta's partnership with Sparrow opens new revenue streams in underserved markets.

Zeta's technology receives high ratings, enhancing brand reputation and customer trust.

Recognition by Celent boosts Zeta's market positioning for US banks and credit unions.

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