Data Scientist Boston, NY

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)