Data Scientist

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, MarketingIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field, with a minimum of 5 years of experience in a Data Scientist role, preferably focusing on marketing or customer analytics. Essential technical skills include strong proficiency in Python for data analysis, statistical modeling, and machine learning, along with solid understanding of frameworks like regression analysis, classification models, time series analysis, explainable ML/AI (e.g., SHAP), A/B testing, and experimental design. Proficiency with SQL, experience with Jupyter Notebooks, and knowledge of integrating Generative AI tools into data science workflows are required. Experience with AWS Cloud Services/Snowflake and dashboarding/BI tools like Tableau is a plus. Advanced professional proficiency in English, both written and verbal, is necessary, as is the ability to work independently and collaboratively in a fast-paced environment with strong communication skills to present to non-technical stakeholders.

Responsibilities

The Data Scientist will apply statistical and machine learning techniques to marketing problems such as customer segmentation, churn prediction, and marketing attribution. They will design and analyze experiments, including A/B testing frameworks, to optimize marketing efforts. Responsibilities include building, evaluating, and deploying predictive models using Python, developing reproducible data science workflows in Jupyter Notebooks, and translating complex data findings into actionable insights through dashboards and visualizations. The role involves collaborating with marketing teams to define data needs and deliver solutions, supporting segmentation leads with targeted data analysis, and working with structured and unstructured data to design and manage data pipelines. Additionally, they will evaluate data quality, propose improvements, and collaborate with visualization and data engineers for seamless integration of data workflows and infrastructure.

Skills

Data Analysis

Machine Learning

Statistical Modeling

Gen AI

Python

Data Science Libraries

Jupyter Notebooks

A/B Testing

Data Visualization

Data Pipelines

Database Structures

Customer Segmentation

Churn Prediction

Marketing Attribution

Logitech

Designs and sells computer peripherals and accessories

About Logitech

Logitech designs and manufactures computer peripherals and digital interaction tools, including keyboards, webcams, headsets, and mice. Their products enhance how users connect with the digital world, focusing on user experience and design. Logitech's offerings cater to a wide range of customers, from individual consumers to businesses and professional gamers, and are sold through various online and retail channels. What sets Logitech apart from competitors is their strong commitment to quality and continuous innovation, which allows them to meet the changing needs of their users and set industry standards. The company's goal is to improve digital interaction for everyone, ensuring customer satisfaction through excellent support and community engagement.

San Jose, CaliforniaHeadquarters

1981Year Founded

IPOCompany Stage

Consumer Software, Design, Consumer GoodsIndustries

5,001-10,000Employees