Data Scientist

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.

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.

Location: Chennai, India

Team: Marketing Digital Transformation

Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory)

Experience Level: 8+ years

*About the Role:*
We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences.

*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 behaviors and values you'll need for success at Logitech

In this role you will:

• Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution).
• Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts.
• Build, evaluate and deploy predictive models using Python and associated data science libraries
• Develop reproducible data science workflows and analysis in Jupyter Notebooks
• Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations
• Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions
• Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments
• Work with structured and unstructured data; design and manage efficient data pipelines and database structures
• Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data.
• Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure.

*Career Path & Growth Opportunities:*
Visible Growth Path:

• Team members can witness real, measurable career progression.
• Many have advanced to pivotal roles, contributing to the development of digital office features and organizational transformation, especially in data analytics..

Cross-Functional Experience:

• Hands-on integration: Collaborate on aligning commercial, marketing, and customer data platforms across different domains.
• Strategic exposure: Transition these data assets into a scalable Snowflake platform, a modern cloud-based data warehousing framework.

Cultural Strength:

• Ownership/accountability: Volunteer for initiatives that require leadership.
• Curiosity and critical thinking: Embrace curiosity by exploring new technologies or data methodologies and aim to ask insightful questions to navigate challenges creatively and unlock opportunities.

*Key Qualifications:
Education & Experience:*

• Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field.
• Minimum of 8 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics

*Technical and Human Skills:*

• Strong proficiency in Python for data analysis, statistical modeling, and machine learning
• Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design
• Proficiency with SQL and strong understanding of data structures and databases
• Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda…)
• Experience with Tableau or similar dashboarding/BI tool
• Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation
• Advanced professional proficiency in English, both written and verbal.
• Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment
• Strong communication skills with the ability to present and engage with non-technical stakeholders

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 for assistance and we will get back to you as soon as possible.