Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
The Role
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
We are seeking a highly skilled Senior Data Scientist to join the Digital Growth Solutions organization. In this role, you will leverage your analytical skills, machine learning knowledge, and Gen AI-proficiency to uncover insights from commercial and customer service data.
You will act as a technical bridge, supporting our Marketing Data Hub Product Owner and Segmentation Leads to drive data-informed decision-making across campaigns and digital experiences. This role blends immediate execution on our Customer Data Platform (CDP) with a strategic 12-18 month roadmap to build our internal Marketing Mix Modeling (MMM) capability.
Your Contribution
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role, you will:
1. Advanced Analytics & Machine Learning
Predictive Modeling: Build, evaluate, and deploy predictive models using Python to solve real-world problems (e.g., churn prediction, LTV forecasting, and propensity scoring).
Explainable AI: champion Explainable ML (e.g., SHAP values) to ensure non-technical stakeholders understand why a model is making specific recommendations.
Generative AI: Integrate GenAI tools into data workflows to enhance productivity and generate insights from unstructured text (e.g., customer service logs).
2. CDP & Strategic Collaboration
Marketing Data Hub: Support the Product Owner by designing analytic solutions that support specific business initiatives, ensuring our data strategy aligns with commercial goals.
Segmentation Strategy: Partner with Segmentation Leads to perform targeted analysis, identifying meaningful customer patterns to refine our audience strategy.
Actionable Insights: Translate complex findings into compelling stories via Tableau dashboards and visualizations that drive business action.
3. Engineering & Data Foundations
Data Quality & Pipelines: Evaluate data quality and propose cleaning strategies. Work with structured and unstructured data, designing efficient pipelines (using AWS Lambda, Athena) to ensure reliable data.
Reproducibility: Develop reproducible data science workflows (not just ad-hoc scripts) in Jupyter Notebooks and productionize them via Snowflake.
Marketing Mix Modeling (MMM): Over time, architect the end-to-end development of Logitech’s in-house MMM framework to measure ROI across online and offline channels.
Key Qualifications
For this role, we need a blend of an Engineer’s discipline and a Statistician’s mind.
Education & Experience:
Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field.
8+ years of experience in a Data Science role, specifically with a focus on marketing, customer analytics, or commercial data.
Core Stack: Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL (Snowflake required).
Cloud Architecture: Hands-on experience with AWS Cloud Services is a strong plus (SageMaker, S3, Athena, Lambda).
Statistical Depth: Solid understanding of regression analysis, classification, time-series forecasting, and experimental design (A/B testing).
Visualization: Experience with Tableau or similar BI tools for dashboarding.
Business Acumen: Advanced proficiency in designing analytic solutions based on vague business requirements.
Communication: Strong skills to present and engage with non-technical stakeholders (Marketing Directors, Finance partners).
Autonomy: Ability to work independently in a fast-paced, matrixed environment.
Curiosity: A "Hungry and Humble" attitude—willing to learn new stacks (like GenAI) and challenge the status quo.
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
