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Senior Business Data Scientist, Finance

Senior Business Data Scientist, Finance

2 Hours ago • 4 Years + • Data Analyst

About the job

Summary_{By Outscal}

7 skills required for this role

Test your skills to join the top 1% applicants for this job

prototyping

data-visualization

python

sql

data-science

tableau

innovation

Must have:

Master's degree in quantitative discipline
4+ years Data Analyst/Data Science experience
Experience with statistical software (Python)
Database languages (SQL) and visualization tools (Tableau)
Strong data intuition and business acumen
Excellent written and verbal communication

Good to have:

Experience with time series data analysis
Stakeholder/client-facing experience (consulting)
Experience in developing and improving ML models

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Minimum qualifications:

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, analyzing data sets to solve business problems through statistical methods and predictive analytics.

Preferred qualifications:

Experience in data analysis for time series data, to solve business problems in fluid and ambiguous business environments with strong data intuition and business acumen.
Experience with statistical softwares (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau).
Experience in stakeholder-facing or client-facing roles (e.g., consulting role).
Excellent written and verbal communication skills to translate technical solutions and methodologies to leadership.

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.

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About The Company

Google

3289 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.