# AI & Data Scientist

**Company**: Logitech
**Location**: Shanghai
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q223127

**Apply**: https://logitech.wd5.myworkdayjobs.com/en-US/Logitech/job/Shanghai-China/AI---Data-Scientist_145798?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9a3d19b4-2d8

## Description

## AI & Data Scientist

Apply for this remote position.

**The Team and Role:** The AI & Data Scientist will be a core member of the Software Analytics & Insights team, partnering closely with our China team cross-functional stakeholders including Business Groups, Engineering, Marketing, Consumer Insights, and Design.

This is a unique role bridging data product management, engineering, advanced analytics, and AI-driven product intelligence. The goal is to transform software analytics into AI-ready data foundations to deliver actionable insights that inform and improve product roadmaps, feature development, and overall user experience.

## Your Contribution:

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviours you’ll need for success at Logitech.

In this role you will:

## Product Management & Intelligence

Partner with Software product managers to design analytics pipelines aligned with product strategy.

Translate complex product questions into measurable hypotheses and scalable data models.

Design data pipelines and models that enable A/B tests, personalization and AI-driven product capabilities.

## Data Foundations & Engineering

Collaborate with global data engineers to build and optimize data pipelines designed for scalability and AI-readiness.

Ensure strong data quality, validation, and analytics coverage in partnership with engineering teams.

Contribute to building embedding, semantic retrieval and tools for agentic AI.

## Advanced Analytics & AI Enablement

Leverage AI and advanced analytics to accelerate decision-making and reduce manual analysis and reporting.

Deliver intuitive dashboards and semantic layers that empower self-service data exploration.

Integrate quantitative data with market research to inform roadmap decisions in partnership with China Consumer Insights.

## Data Culture & Organizational Impact

Drive a shift from reactive reporting to proactive, insight-led decision-making.

Promote AI-enabled analytics workflows across China and global teams.

Lead deep dives, knowledge sharing, and recurring deep-dive updates to strengthen data-centric culture.

## Key Qualifications

For consideration, you must bring:

### Core Experience

5+ years of experience in big data platforms, product analytics, or analytics engineering.

Strong fluency in Python, SQL and BI platforms.

Experience contributing to data engineering pipelines (PySpark preferred) within cloud ecosystems (AWS preferred).

### Advanced Capabilities & AI-Fluency

Strong foundation in probability, statistics, and experimental design.

Hands-on experience with advanced product analytics (cohorts, segmentation, regression, forecasting).

Demonstrated AI&ML fluency: actively leveraging LLMs, automation, or ML tools to accelerate analysis and generate deeper insights.

Curiosity and experimentation mindset , regularly testing new AI tools, workflows, and modeling approaches to enhance analytical impact.

Ability to evaluate where AI meaningfully improves decisions versus where human judgment is required.

### Mindset & Collaboration

Self-starter with strong ownership and ability to operate with limited guidance.

Excellent English communication skills; able to synthesize complex findings into clear, actionable recommendations.

Strong cross-functional collaboration skills; able to build credibility quickly with technical and non-technical stakeholders.

Comfortable navigating ambiguity and structuring unclear problems into pragmatic solutions.

## Education

Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative discipline.

## Skills

### Required
- Python
- SQL
- BI platforms
- PySpark
- AWS
- Probability
- Statistics
- Experimental design
- Product analytics
- Analytics engineering
- Data engineering pipelines
- Cloud ecosystems
- LLMs
- Automation
- ML tools

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Source: [Apply at logitech.wd5.myworkdayjobs.com](https://logitech.wd5.myworkdayjobs.com/en-US/Logitech/job/Shanghai-China/AI---Data-Scientist_145798?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
