Data Scientist

Logitech Sales & Marketing; Chennai District; Hybrid; INR 10,00,000 - 15,00,000; Full time

Job summary

A leading tech company in Chennai seeks an experienced Data Scientist to leverage analytical and machine learning skills within the Marketing Digital Transformation team. You will apply statistical techniques to drive insights from marketing data, collaborate with cross-functional teams, and optimize overall marketing strategies. This full-time role offers a hybrid work model and requires a minimum of 5 years of experience in data science.

Benefits

Comprehensive benefits packages

Flexible work environment

Qualifications

• 5+ years of experience in a Data Science role, preferably in marketing or customer analytics.
• Advanced professional proficiency in English.
• Strong communication skills with ability to present to non-technical stakeholders.

Responsibilities

• Apply statistical and machine learning techniques to solve marketing problems.
• Design and analyze experiments (e.g., A/B testing) for marketing optimization.
• Collaborate with stakeholders to define data needs and deliver impactful solutions.

Skills

Python for data analysis

Statistical modeling

Machine learning

SQL

Data visualization (Tableau)

Generative AI integration

Education

Bachelor's or Master's in Computer Science, Statistics, Engineering or related field

Tools

Jupyter Notebooks

AWS Cloud Services

Snowflake

Job description

Location: Chennai, India

Team: Marketing Digital Transformation

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

Experience Level: Mid-Level (5+ 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.

Key Responsibilities:

• 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.

Key Qualifications:

Education & Experience:

• Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field.
• Minimum of 5 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

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.

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