Description

You will build analytical frameworks and machine learning models to drive business insights across marketing domains.

This role is hybrid.

Responsibilities

• Engage with stakeholders and business analysts to define data requirements.
• Design analytical frameworks and build machine learning or statistical solutions.
• Explore and visualize diverse datasets to prepare data for problem-solving.
• Design database models when data aggregation for modeling is needed.
• Present data-driven results and narratives to stakeholders using dashboards and presentations.

Required Skills

• 6-10 years of experience in Machine Learning & AI.
• Minimum of 3 years experience in the data science domain.
• Proficiency in Python and SQL.
• Experience with Tableau and/or PowerBI.
• Hands-on experience with Amazon Web Services (AWS) and SageMaker.
• Experience building data pipelines using tools like Alteryx or GLUE.
• Expertise in predictive analytics for customer retention, acquisition, and segmentation.
• Familiarity with Natural Language Processing techniques (e.g., Sentiment Analysis, Topic Modelling).
• Extensive experience with Snowflake.

Preferred Skills

• POC experience building Generative AI solutions (GPT, Llama etc.).
• Experience with AWS APIs for Machine Learning.

Key Skills

Education

Any Graduate