Junior Data Scientist Engineer role
Junior Data Scientist Engineer role
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Job Description
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 youll play a crucial role in transforming our data capabilities and driving datainformed decisionmaking across the organization. Youll also have the opportunity to work on diverse projects continuously learn new technologies and help shape the data strategy of a leading company. Youll 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 endtoend 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 scikitlearn
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:
Handson 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 problemsolving abilities
Excellent communication skills to present findings to technical and nontechnical 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
Whats in it for you:
Work in a fastpaced environment at a leading trendsetting company with pioneer products.
Competitive remuneration based on your skills and experience.
Ongoing learning opportunities and free participation in BOUSSIAS events and conferences
Required Experience:
Junior IC
Employment Type
Full-Time
