Role Overview & Mandate
Executive Summary
Analytics & actionable insights are at the core of our vision, and the company is investing in cutting edge software and technologies to...
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Analytics & actionable insights are at the core of our vision, and the company is investing in cutting edge software and technologies to execute on its vision.
We are looking for an experienced Data Scientist with additional experience in Data Engineering as a back-up. Data Science is a new discipline but we have very clear use cases where this function will be a key element to enable those. We are on an Azure stack, and the Data Scientist will be crucial in defining the required additional services to achieve the set outcomes.
Working closely with the team and stakeholders across editorial, marketing, and product, you will help to enable specific production related ML and AI models and outputs leveraging fact and facet tables from various data sources. You will also be involved in the definition, creation and modelling of user segments, cohorts and persona for production targeting and funnel conversions.
We are looking for an smart, critical and pragmatic individual with a passion for solving complex challenges.
Responsibilities
Work towards use cases and enable desired outputs using ML and AI technologies on available raw data.
Create a ML and AI environment as part of our data stack.
Engage with stakeholders and gather their requirements for new use cases.
Support Data Engineering.
Ensure high data and output quality for effective production deployments.
Skills & Experience
Required
A degree in Computer Science (Preferably with Machine Learning), Statistics, Maths, Data Science or Engineering.
Proficient experience of working hands-on in a data science.
Ability to utilize data science techniques to analyze data, detect patterns, extract, and present insights with advanced visualization.
Knowledge of any of the following Languages (Python, Scala, R, Pyspark)
Proficient with ML and AI modelling solutions.
Experience in working with first and third-party user data across various data sources for segmentation and cohort definitions.
Experience with NLP workflows and processing.
Beneficial to have.
Experience with Azure cloud services related to Data Engineering, ML & AI.
Excellent ETL & SQL skill
Experience with Power BI
Azure Certifications
