Job description
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. You will be the first Data Scientist to join us. 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. To be successful in this role, experience and expertise in the areas of NLP, Segmentation Models and applied predication models to such as essential.
Working closely with the team and stakeholders across editorial, marketing, and product, the Data Scientist will help to enable specific production related ML and AI models and outputs leveraging fact and facet tables from various data sources. She/he 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 a 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 across multiple sources.
- Create a ML and AI tech environment as part of our existing data tech 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 or Engineering or equivalent experience.
- Extended Experience with NLP solutions, workflows and processing.
- Minimum 4 years of working experience in hands-on data science in a production environment.
- 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 segmentations and predictions.
Beneficial to have.
- Experience with Azure cloud services related to Data Engineering, ML & AI.
- Excellent ETL & SQL skill
- Experience with Power BI
- Azure Certifications