Lead Data Scientist

Gurugram, Haryana, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Data & AnalyticsIndustries

Requirements

The Lead Data Scientist should possess 7-10 years of professional software work experience, expertise in Python and Apache Spark, proficiency in SQL, knowledge of OOP design patterns, Test-Driven Development, and Enterprise System design, and experience with Linux OS and version control systems like Git. They should also have problem-solving and debugging skills, adhere to Agile principles, and demonstrate software craftsmanship. Nice to have qualifications include Core Java 17+, DevOps experience, and familiarity with technologies such as Apache Avro, Apache Kafka, Kubernetes, and cloud platforms like AWS and GCP.

Responsibilities

As a Lead Data Scientist, the candidate will build production-ready data acquisition and transformation pipelines, serve as a hands-on problem solver and developer, extend and manage data platforms, architect and lead the development of end-to-end data ingestion and processing pipelines, apply best practices in data modeling and ETL pipelines, mentor junior and mid-level data engineers, and provide technical guidance. They will also contribute to solving high-impact business problems and developing next-generation data products while enhancing existing ones.

Skills

Python

Apache Spark

OOP Design Patterns

Test-Driven Development

Enterprise System Design

SQL

Linux Bash

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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