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Solaria Labs Data Science Co-op (July - December 2023)

Liberty Mutual Boston, MA
data data science science data science data science machine learning learning engineering software algorithms technical r&d
January 27, 2023
Liberty Mutual
Boston, MA
OTHER

Description


Why you may enjoy working at Solaria Labs:


The Data Science co-op will support data science efforts in Solaria Labs in a diverse set of challenges broadly related to public health, safety, and trust. Many of the concepts we develop require novel use of Liberty Mutual and partner data, and the application of current and emerging machine learning techniques to build previously inconceivable product offerings. You will interact with other data scientists and engineering teams to implement your solutions within internal and customer facing software products.



  • You want to be part of a collaborative innovation lab: experience both heads down coding time as well as active participation in ideation and product design.

  • You like exploring emerging Machine learning technologies including natural language processing/understanding and computer vision, and emerging trends like insuretech/fintech and the sharing economy.

  • You are passionate about building and iterating on software prototypes, thrive in an R&D environment, and have a start-up mentality.

  • You enjoy building custom algorithms, digging into data for insights, building engaging interfaces and always looking to sharpen your skills with emerging technology or participating in hackathons and meetups.


Qualifications


You’re good at and offer:



  • Working knowledge of data science and machine learning technologies

  • Aware and excited about new and upcoming machine learning algorithms

  • Ability to exchange ideas and convey complex information clearly and concisely

  • Fluency in Python


 


 


Location: Solaria Labs, Boston, MA


 


Qualifications:


 



  • Working towards a Bachelor's Degree in Data Science, Engineering, Computer Science, Mathematics or other technical field

  • Strong technical, analytical, communication and organizational skills

  • You have a proven track record of academic success 

  • You are fully authorized to work in the U.S. without restrictions 


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