107 results for Data Scientist Jobs in Cambridge, MA, US

Salary: $75.00 to $80.00 hourlyDescriptionThis role will be responsible for building digital data strategies, web/mobile tagging, generating analytics insights, and syndicating data to and from real-time systems. The ideal candidate is highly analytical, data-savvy, technically capable, and able to ...

Responsible for owning the full analytics value-chain, designing algorithms, implementing scalable solutions, and applying data science methods to real-world business situations across various industries. Additional responsibilities include developing thought leadership and leading conferences.

Responsible for building and maintaining data infrastructure for healthcare cost analysis using administrative claims data. Develops techniques for monitoring trends, applies classification systems to leverage data, synthesizes information from various sources, and collaborates with teams to achieve...

Analyze and interpret large data sets to identify opportunities for operational and financial improvement. Collaborate with stakeholders to enhance processes and software applications. Leverage data analytics and modeling techniques to improve performance, applying machine learning and statistical m...

At Axoft Cambridge, Massachusetts Axoft is building the most advanced and scalable platform for implantable brain-machine interfaces. Our mission is to enable minimally invasive, long-term stable and ultra-high bandwidth communication with the brain, opening new therapies and treatments against neur...

What you'll need to succeed as an Associate Data Scientist at XPO: Minimum Qualifications: * Bachelor's degree or equivalent related work or military experience * 1 year of hands-on experience delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, ...

Conducts statistical analyses and coding tasks using tools like R, Python, and SQL. Engages in risk analytics and modeling, pattern recognition, and data mining. Structures projects from idea to implementation, analyzes complex data, and communicates findings to stakeholders.