Lead Data Scientist at S&P Global

Gurugram, Haryana, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

MaritimeIndustries

Requirements

10+ years of industrial/research experience in a Data Science/Engineering Team
2-3 years of experience in working in time series forecasting
2+ years of experience in working with cloud technologies AWS/Databricks
1+ years of experience in implementing LLMs for analytics products/services
5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
Experience in creating docker containers
Experience working on end-to-end analytics project from requirements analysis till deployment of project
Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
Knowledge of RDBMS concepts and experience working with SQL
Understanding of data visualization principles and experience with data visualization tools such as Tableau
Master’s degree in a quantitative discipline (Computer Science, Mathematics, Econometrics, Engineering, Data Science)
In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Good logical thinking and problem-solving skills
Good communication skills and ability to confidently present technical solutions to stakeholders
Great teamwork and ability to connect with people and build strong professional relationship

Responsibilities

Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
Work as an Individual Contributor and should be able to manage a team as well
Participate in complex analytical projects and apply data engineering techniques to support new or existing data products
Support the team or management by producing quick-turnaround analysis, model development, and quality assurance for product development, consulting projects, and client presentations
Gather knowledge about the Maritime industry and its interrelationship with various economic and policy decision
Work closely with the research team and product management team to take their inputs and develop a product
Mentor junior team members on various algorithms, tools and techniques in the world of data science

Skills

Key technologies and capabilities for this role

Machine LearningStatistical TechniquesTime Series ForecastingAWSDatabricksLLMsSparkPySparkCassandraMongoDBDocker

Questions & Answers

Common questions about this position

What experience level is required for this Lead Data Scientist role?

The role requires 10+ years of industrial/research experience in a Data Science/Engineering Team.

Is this position remote or office-based?

The position is based in the analytics team located in Bangalore/Hyderabad/Gurgaon, indicating an office-based role in these locations.

What are the key technical skills needed for this job?

Key skills include 5+ years with Big Data tools like Spark and PySpark, 2+ years with cloud technologies such as AWS/Databricks, experience in time series forecasting, implementing LLMs, statistical modeling in R/Python/Spark, and SQL.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the team structure look like for this role?

The role involves working as an Individual Contributor while also being able to manage a team, alongside other data scientists, data engineers, Product managers, Industry Analysts, and Technology experts, with opportunities to mentor junior team members.

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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