Senior Business Data Scientist, Finance

Google

3.8

(162)

Bengaluru, India

Why you should apply for a job to Google:

  • 56% say women are treated fairly and equally to men
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.
  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.
  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.
  • #118669783620035270

    Position summary

    About the job*

    As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers.

    The Finance Data and Analytics (DnA) team combines business acumen, technology and innovation to organize data, enable insights and create data driven and efficient Finance organization in Google. At Google, data drives all of our decision-making. You will be part of a growing Data Science team for Data Scientists and Machine Learning Engineers. You will work on strategic business challenges across multiple business areas (e.g., Ads, YouTube, Search, Play, etc.) through the lens of business generation. You will collaborate with Data Scientists, Data Engineers, and Project Managers to create data products to enable our finance partners to make informed decisions, manage risks and opportunities.

    Responsibilities

    • Partner with Finance leadership and their teams to understand business context, ideate, and deliver insights and prototypes.
    • Work with Machine Learning Scientists and Engineers to improve usability of the Machine Learning models through the design of appropriate metrics.
    • Collaborate with Machine Learning Scientists to develop and improve models (e.g., identifying new data sources, hypothesis testing, feature engineering, model prototyping, analyzing model output and model explainability).
    • Provide analyses through advanced analytics/statistical methods that tell a story focused on business insights.
    • Develop reusable and robust analytic frameworks to ensure consistent results across business areas. Contribute to a culture of learning, sharing and making Machine Learning accessible across the broader team and our stakeholders.

    Why you should apply for a job to Google:

  • 56% say women are treated fairly and equally to men
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.
  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.
  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.