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Granite North Corp. in Boston, MA is seeking a Data Scientist to analyze large datasets, build predictive models, and provide insights to improve manufacturing operations.
You will collaborate with software engineers, product managers, and UX designers in our Boston office, delivering data-driven solutions that inform strategic decisions and boost production efficiency. The role requires a Master's degree and strong Python/SQL skills.
Granite North Corp., a prominent player in the manufacturing sector, is hiring a Data Scientist in Boston, MA. This is a full-time position with a negotiable salary, open until November 22, 2026.
In this role, you'll analyze large datasets, build predictive models, and offer insights to improve operations. Your work will directly influence business decisions and enhance production efficiency.
You'll collaborate with a cross-functional team in our Boston office, contributing to innovative projects that shape our industry. This team includes software engineers, product managers, and UX designers, all working together to develop cutting-edge solutions. You'll have the opportunity to work on a variety of projects, from developing new software applications to improving existing ones. These projects are designed to push the boundaries of what's possible in our industry, and your contributions will play a crucial role in shaping the future of our company.
The salary for this position is negotiable, allowing for potential adjustments based on the candidate's qualifications, experience, and market conditions. In addition to the base salary, the company offers a comprehensive benefits package that includes health insurance coverage for the employee and their dependents, a retirement plan with company matching contributions, and opportunities for professional development through workshops, training programs, and access to industry conferences. The company is committed to supporting the growth and well-being of its employees, providing a supportive and inclusive work environment.
You should have a degree in data science, statistics, or a related field, along with experience in machine learning and data analysis tools. Proficiency in Python and SQL is required.