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
  
  

Data Skills:

• Strong proficiency in Python for data analysis and machine learning
• Experience with data analysis libraries like pandas, NumPy, and scikit-learn
• Expertise in building and deploying machine learning and AI models
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch
• Experience with big data technologies such as Spark
• Proficiency in SQL and working with relational databases
• Experience building ETL pipelines on cloud platforms (GCP and/or AWS)
• Familiarity with cloud data warehouses like BigQuery or Redshift
• Experience with data lakes (e.g. S3)
• Familiarity with data visualization and BI platforms such as PowerBI, Looker, or Tableau
• Experience with version control using Git
  
  

Cloud skills:

• Hands-on experience with GCP and/or AWS services for data and ML workflows
• Familiarity with serverless computing (e.g. AWS Lambda, Google Cloud Functions)
  
  

Soft skills:

• Strong analytical and problem-solving abilities
• Excellent communication skills to present findings to technical and non-technical audiences
• Ability to work independently and as part of a team
• Solution oriented
• Attention to detail
• Growth mindset and eagerness to learn new technologies
  
  

Additional desired :

• Experience designing and implementing ETL processes to sync data between Salesforce and other systems
• Experience with containerization and orchestration (Docker, Kubernetes)
• Knowledge of data streaming technologies (e.g. Kafka)
• Familiarity with NoSQL databases
• Understanding of data privacy and security best practices
  
  
  

Benefits

What's in it for you:

• Work in a fast-paced environment at a leading, trend-setting company with pioneer products
• Competitive remuneration, based on your skills and experience
• Ongoing learning opportunities and free participation in BOUSSIAS events and conferences