Business Data Scientist, Cloud Learning Services

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 4 years of experience in business visualization tools like Looker, Tableau, etc.
• 4 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and AI.
• Experience coding in SQL and Python.

Preferred qualifications:

• Master's degree in Computer Science, Statistics, Economics, Engineering or Mathematics, or a related technical field.
• Experience working with large datasets in a distributed system.
• Experience with Machine Learning, AI or AI pipelines.
• Experience with Google Cloud Platform (GCP).

About the job

Cloud Learning Services (CLS) is revolutionizing direct cloud learning. We empower users of all levels with interactive labs and guided experiences to build practical skills on Google Cloud Platform and other leading technologies. Our mission is to make the cloud accessible, engaging, and enjoyable to learn.

As a Business Data Scientist, you will play a key role in uncovering valuable insights from data sources to solve critical business tests. You will address a wide range of exciting projects, from establishing new measurement frameworks to identifying meaningful patterns in large datasets, ultimately empowering stakeholders to make data-driven decisions.

In this role, you will determine the most effective investigative approaches to address complex business problems. You will clearly and effectively communicate our findings to decision-makers with varying technical backgrounds. You will influence data-driven decision-making across the organization and contribute to impactful outcomes.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Extract actionable insights from large, complex datasets and build data products like dashboards to operationalize them, driving measurable improvements in Key Performance Indicators (KPIs).
• Present and communicate actionable insights and recommendations to executives, leaders, and cross-functional partners, including Product, Engineering, and Marketing team.
• Serve as a peer-reviewer and consultant to other members of the team, fostering a collaborative and idea sharing environment.
• Learn and share ideas of the latest advancements in Artificial Intelligence/Machine Learning (AI/ML) and data science that are relevant to our work.