Join an innovative Data Science team focused on the Contact Center domain, aiming to revolutionize customer interactions with data-driven insights. This role is part of the Marketing Analytics team, dedicated to optimizing contact center operations.

We leverage machine learning, natural language processing (NLP), generative AI, and advanced analytics to analyze customer conversations, predict user behavior, and enhance self-service capabilities. Our goal is to reduce call transfers and improve customer satisfaction through the development of conversational AI models, real-time recommendation systems, and predictive analytics solutions.

This position drives strategic initiatives and business transformations, utilizing industry expertise to deliver value-driven solutions. If you're passionate about applying data science to solve complex customer experience challenges, this is an exciting opportunity.

Extract strategic insights from extensive datasets. Apply statistical modeling, forecasting, optimization, and machine learning techniques (GBM, Decision Trees). Utilize AI methodologies, including Deep Learning. Manage and process data efficiently using Python, Spark, SQL, or similar tools. Communicate complex ideas and findings clearly to both technical and non-technical audiences. Integrate quantitative analysis within marketing and business economics contexts. Work with and create visualizations using tools like Tableau and Power BI.

A Master's degree in computer science, statistics, applied mathematics, or a related field with a minimum of 2 years of experience, OR a Bachelor's degree in a similar field with at least 3 years of relevant experience.

Demonstrated ability to extract strategic insights from large datasets. Proficiency in statistical methods, machine learning (GBM, Decision Trees), and AI techniques (Deep Learning). Strong command of data handling tools such as Python, Spark, and SQL. Excellent written and verbal communication skills, with the ability to convey technical results to business stakeholders. A keen aptitude and motivation for applying quantitative analysis to marketing and business challenges. Experience with visualization tools, including Tableau and Power BI.