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

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