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Data Scientist II

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Mastercard

Sep 22, 2024

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Pune
  • Quick Apply

AI generated summary

  • You must have Python proficiency, ML/DL/NLP expertise, SQL skills, API knowledge, cloud familiarity, and 2 years of Data Science experience. Strong communication and teamwork skills are essential.
  • You will analyze and develop AI solutions, research frameworks, create prototypes, collaborate with teams, and publish research or file patents in AI technologies.

Requirements

  • Proficiency with Python and related ecosystem of Data Science tools and packages including pandas, numpy, sklearn, keras, torch, transformers, spacy and genism
  • Well versed with various Machine Learning, Deep Learning and NLP concepts and models for both supervised and unsupervised learning
  • Working knowledge of Python based API based frameworks like FastAPI and comfortable working with JSON objects
  • Expertise in Prompt engineering and working with both external API based LLMs like GPT family and self-hosted models like Llama, dbrx, gemma and Mistral
  • Good working knowledge of creating and executing optimized SQL queries
  • Experience creating basic python based user interfaces using frameworks like streamlit
  • Experience in code configuration management with frameworks like github and bitbucket
  • Experience working with Unix commands for accessing various systems and databases and deploying and managing services / APIs
  • Working knowledge of cloud platforms like Azure and using Cloud Native services
  • Working knowledge of Databricks is good to have
  • Working knowledge of MLOps tools like MLflow is good to have
  • Experience with a UI framework such as Angular or React is a plus
  • Experience with dashboarding tools like PowerBI is a plus
  • Working knowledge of pyspark is a plus
  • Possess at least 2 years of relevant work experience in the field of Data Science
  • Loves creating innovative solutions to problems in a collaborative fun environment
  • Advanced knowledge and understanding of modern software engineering concepts and methodologies
  • Passionate about code quality and coding best practices
  • Show initiative and demonstrate a willingness to take on challenging opportunities
  • Excellent communication (verbal and written) and strong collaboration skills
  • Must be driven, highly motivated and a strong team-player

Responsibilities

  • Responsible for the analysis, design, and development of AI solutions using ML, DL and NLP tools and techniques as per use case
  • Research on new AI frameworks and technologies and apply the same to the development of POCs, Prototypes, Products and capabilities as applicable
  • Use latest small and large language models (SLMs and LLMs) for building AI based solutions for relevant use cases
  • Contribute to the requirements for new applications and customizations, adhering to standards, processes, and best practices
  • Work with cross functional teams spread across geographies on new product innovation and R&D initiatives
  • Work on publishing Research papers and filing IDFs and Patents for solution concepts in the field of AI

FAQs

What is the primary purpose of Mastercard?

Mastercard's purpose is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

What is the role of a Data Scientist II at Mastercard?

The role involves working with a team to develop high-performance AI solutions using machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques, along with researching new AI frameworks and technologies.

What qualifications are required for the Data Scientist II position?

Candidates should possess at least 2 years of relevant work experience in the field of Data Science, advanced knowledge of modern software engineering, and strong collaboration and communication skills.

What technical skills are needed for this role?

Proficiency with Python and data science tools (like pandas, numpy, sklearn, etc.), knowledge of ML, DL, and NLP concepts, experience with SQL, API frameworks, prompt engineering, and familiarity with cloud platforms like Azure are essential.

Is experience with MLOps tools important for this position?

Yes, experience with MLOps tools like MLflow is considered a good to have for the role.

What kind of projects will the Data Scientist II be involved in?

The Data Scientist II will work on developing innovative AI-based solutions, publishing research papers, and engaging in new product innovation and R&D initiatives.

Does Mastercard promote a culture of inclusion?

Yes, Mastercard values a culture of inclusion that respects individual strengths, views, and experiences, believing that differences enable better teamwork and innovation.

Are there opportunities for professional development and innovation in this role?

Yes, the role offers opportunities for innovation, engaging with start-ups, and contributing to the development of prototypes and solutions that shape the future of commerce.

What is the expected work environment for this position?

The work environment is collaborative and fun, built around creating innovative solutions within a highly agile team.

Are there any specific tools or frameworks that a candidate should be familiar with?

Familiarity with tools like FastAPI, data visualization tools like PowerBI, and UI frameworks like Angular or React is a plus. Additionally, experience with data manipulation using PySpark is also beneficial.

What responsibilities does the Data Scientist II have regarding corporate security?

The Data Scientist II is expected to abide by Mastercard’s security policies, ensure the confidentiality of information, report any suspected security violations, and complete periodic mandatory security training.

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Mastercard

Connecting Everyone to Priceless Possibilities

Consulting
Industry
10,001+
Employees
1966
Founded Year

Mission & Purpose

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.