Junior Data Scientist & Engineer role

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