Data Science Lead

1 week ago

Bengaluru, Karnataka, India AMEX Full time

Unlock a challenging career at American Express, where you can leverage your expertise in data science to drive business growth.

About American Express

American Express is one of the world's largest online destinations for home goods. We're reinventing the way people shop for their homes through our commitment to industry-leading technology and creative problem-solving.

We're seeking a highly skilled Data Science Lead - Fintech & Loyalty Analytics to join our team in Bangalore. As a key member of our analytics team, you'll play a crucial role in constructing optimized code that massages information from multi-terabyte data sources.

Job Responsibilities:

  • Develop and execute A/B tests to make high-impact changes to the customer experience.
  • Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core business metrics and consumer behavior.
  • Collaborate with all facets of the organization, including product management, engineering, business, and creative design, to identify impactful ways for data and analytics to drive decision making and accelerate profitable growth.
  • Design, execute, and analyze deep-dive analysis, including the application of advanced analytical techniques, to solve critical and complex business problems.
  • Develop data visualizations, including reports, dashboards, and analyses in Looker and Google BigQuery, to distribute data insights in an easily digestible manner.

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Master's preferred.
  • 6+ years of work experience in a relevant field, such as analytics or data science.
  • Proficient knowledge of a statistical programming language, such as Python, R, SAS, or SPSS.
  • Proficient knowledge of SQL (including aggregate functions, joins, etc.).
  • Experience conducting quantitative analyses on large and complex data sets.
  • Experience leveraging modeling algorithms to derive business insights.
  • Experience with experimental test design, such as A/B testing.
  • Experience with data visualization software, such as Google Data Studio, Tableau, or Power BI.
  • Analytical, creative, and innovative approach to solving problems.
  • Strong written and verbal communication skills.

Earned Salary: ₹2,500,000 - ₹3,500,000 per year

About Us

We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better future for all.

We are an equal opportunity employer and do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, or any other legally protected characteristic.

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