Google · 17 hours ago
Applied AI/ML Business Analytics Lead
Mountain View, CA
Full-time
Onsite
Senior Level
$147K/yr - $216K/yr
6+ years expGoogle is seeking a highly motivated Applied AI/ML Business Analytics Lead for Pixel Phones to work closely with the Head of Global Category Business Management & Consumer Offer Analytics to maximize sales and profit for the Pixel business. In this role, you will develop and implement data-driven processes and workflows, innovate with machine learning models, and communicate insights to executive leadership.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Lead the development and refinement of predictive models for promotions and business. Leverage trend-based and granular forecasting for insights to deliver strategic planning
Support the creation of new models to improve resource allocation and business performance across regions and partners. Integrate machine learning for automated, enhanced decision-making
Provide data-driven recommendations and scenario analysis for business. Partner with cross-functional teams to align decisions with company goals and market opportunities
Examine business KPIs and discover additional opportunities to enhance our business using statistical methods to drive intelligent decision-making
Communicate findings to executive leadership, ensuring clarity and insights. Enhance tools and processes, and stay informed of industry trends and technological advancements to maintain analytics practices
Qualification
Required
Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or equivalent practical experience
6 years of experience in data analysis, statistical modeling, or a similar role
Experience in applying machine learning techniques and economic analysis in a business context such as simulations, statistical analysis, and nonlinear regression models
Experience in SQL (BigQuery, PostgreSQL, SQL Server, or MySQL)
Experience in Python or R
Preferred
Master's degree or PhD in Data Science, Machine Learning, Statistics, Economics, or a related field
Experience with data visualization tools such as Tableau, Power BI, or similar
Experience in the consumer electronics industry, with a focus on promotional analytics and consumer offer management
Experience building and deploying statistical and machine learning models using Python
Knowledge of cloud-based AI platforms like Google Cloud's Vertex AI for scaling machine learning models
Excellent communication skills, with the ability to translate complex problem solving concepts to non-technical stakeholders
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
2025-10-08
2025-10-04
2025-10-04
Company data provided by crunchbase