The data scientist and engineer role reports to the Chief Data Officer (CDO) and is part of the newly established Data Team. This is a new team that aims to organize, manage and leverage all data that BOUSSIAS collects, in order to support both strategic and tactical decision making. As a key member of our Data Team, you'll play a crucial role in transforming our data capabilities and driving data-informed decision-making across the organization. You'll also have the opportunity to work on diverse projects, continuously learn new technologies, and help shape the data strategy of a leading company. You'll collaborate closely with cross- functional teams including marketing, sales, and product development to deliver data- driven insights and solutions. This role offers significant potential for growth and advancement as our data capabilities expand.
Responsibilities
- Data pipeline development and optimization: Build ETL/ELT data pipelines from multiple sources and continuously optimize them for improved performance and efficiency
- Data governance: Contribute to establishing and maintaining data governance policies and procedures to ensure data quality, security, and compliance
- Data quality: In particular, develop algorithms to identify data quality issues and fix them, and automate all QC processes
- Prescriptive modeling: Build and deploy ML models to specify the next best actions (NBAs) per client and lead
- AI pipeline development and automation: Design and implement RAG (Retrieval- Augmented Generation) frameworks to analyze internal content and online information for identifying sales opportunities. Create and maintain robust MLOps pipelines for efficient model deployment and management
- Monitoring and alerting: Implement monitoring and alerting systems for data pipelines and models to ensure reliability and performance
- Exploratory data analysis: Conduct exploratory data analysis to uncover actionable insights and identify opportunities for business improvement
- BI development: Design BI dashboards that effectively communicate insights to various audiences. Build and automate report production for business users
- Stakeholder collaboration: Work closely with business stakeholders to understand their data needs and translate them into technical requirements
- A/B testing: Implement A/B tests to optimize business processes and decision- making
- Documentation and knowledge sharing: Create and maintain comprehensive documentation of data processes, models, and insights for knowledge sharing across the organization
Requirements
- 1 -3 years of professional experience in data science/engineering roles
- BSc and MSc or other postgraduate degree in computer science, statistics, or related technical field
- Demonstrated experience delivering end-to-end data science/engineering projects
