Opportunity awaits...
Data Scientist Boston, NY
PEBE004
- US$90,000 to US$140,000pa
- Cambridge, Massachusetts, United States
- Permanent
Responsibilities
Develop scalable data pipelines, reports, and automation workflows
Collaborate with data engineers, product teams, and stakeholders to deliver end-to-end solutions
Maintain model performance, observability, and reliability in production environments
Contribute to best practices, documentation, and knowledge sharing across the team
Build, train, and optimize machine learning models for real-world business problems
Deploy and monitor ML models using modern MLOps tools and frameworks
What’s in it for you
Competitive salary + performance bonus
Hybrid working model with flexible hours
Annual learning & development budget (certifications, courses, conferences)
Cutting-edge tech stack and the freedom to influence tooling decisions
A supportive, collaborative culture where your ideas genuinely shape the roadmap
Must-Haves
Strong hands-on experience with Power BI/Tableau
Proven track record of designing dashboards for business stakeholders
SQL and Python coding experience
Nice-to-Haves
Strong experience in common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
Develop scalable data pipelines, reports, and automation workflows
Collaborate with data engineers, product teams, and stakeholders to deliver end-to-end solutions
Maintain model performance, observability, and reliability in production environments
Contribute to best practices, documentation, and knowledge sharing across the team
Build, train, and optimize machine learning models for real-world business problems
Deploy and monitor ML models using modern MLOps tools and frameworks
What’s in it for you
Competitive salary + performance bonus
Hybrid working model with flexible hours
Annual learning & development budget (certifications, courses, conferences)
Cutting-edge tech stack and the freedom to influence tooling decisions
A supportive, collaborative culture where your ideas genuinely shape the roadmap
Must-Haves
Strong hands-on experience with Power BI/Tableau
Proven track record of designing dashboards for business stakeholders
SQL and Python coding experience
Nice-to-Haves
Strong experience in common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
Peter Bellerby
Consultant - Network and Server Infrastructure
