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Senior Business Data Scientist, Finance

Google is a global technology company that specializes in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Finance · Enterprise SaaS
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Description For Senior Business Data Scientist, Finance

Google's Finance Data and Analytics (DnA) team is seeking a Senior Business Data Scientist to join their dynamic organization. This role combines business acumen, technology, and innovation to drive data-driven decision-making across Google's various business units including Ads, YouTube, Search, and Play.

As a Senior Business Data Scientist, you'll be responsible for analyzing large datasets and building expert systems that enhance product performance and web understanding. You'll work with a growing team of Data Scientists and Machine Learning Engineers, tackling strategic business challenges through the lens of business generation.

The role requires expertise in statistical analysis, predictive analytics, and machine learning, with a focus on solving complex business problems in finance. You'll collaborate closely with Finance leadership, Machine Learning Scientists, and Engineers to develop and improve models, create data products, and enable informed decision-making.

Key aspects of the role include performing complex statistical analysis on non-routine problems, working with engineers to embed models into production systems, and managing fast-changing business priorities. You'll need strong communication skills to translate technical solutions to leadership and contribute to a culture of learning and sharing.

This position offers the opportunity to work at one of the world's leading tech companies, with access to vast data resources and cutting-edge technologies. You'll be part of a team that values diversity, equality, and inclusion, working in an environment that promotes innovation and professional growth.

The ideal candidate will bring a combination of technical expertise, business acumen, and collaborative skills, with the ability to work effectively in fluid and ambiguous business environments. This role represents an excellent opportunity for someone looking to make a significant impact at the intersection of data science and finance in a global technology leader.

Last updated 7 months ago

Responsibilities For Senior Business Data Scientist, Finance

  • 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
  • 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

Requirements For Senior Business Data Scientist, Finance

Python
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
  • 4 years of experience in a Data Analyst or Data Science role
  • Experience with statistical softwares (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau)
  • Experience in data analysis for time series data
  • Experience in stakeholder-facing or client-facing roles
  • Excellent written and verbal communication skills

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