Jobs at SFL Scientific
3

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All Jobs
Data + Analytics
Dev + Engineer
Project Mgmt
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AWS & Azure - DevOps Engineer

SFL Scientific
Greater Boston Area
1 month ago
+41
This is a technical & consulting role within our data science team. The role is to design and develop solutions for various organizations looking to implement tools, software, and processes that support machine learning and AI initiatives. This role uses your abilities in cloud development, automation, DevOps, data engineering, automating, and streamlining IT infrastructure processes for organizations in healthcare, life sciences, biotech, semiconductors, public sector, manufacturing, agriculture, and other industries. Opportunity to develop data science & AI development skills are available.

Data Science Project Manager

SFL Scientific
Greater Boston Area
1 month ago
+41
In this role, you will work with the Data Science team to execute on the data science project roadmap inclusive all ongoing and ad-hoc reporting needs. This individual will be responsible for the day-to-day program management of the project schedules, deliverables, on-time delivery, and will have ownership driving technical strategy, customer experience, and business objectives. This includes working in a consultative capacity to problem scope, review code, and provide technical expertise in an oversight capacity.

Senior Data Scientist

SFL Scientific
Greater Boston Area
3 months ago
+41
Work on complex and R&D type data science problems with organizations of all sizes and across industries. Work with other data scientists, data engineers, architects, and strategists to help detect cancer, understand population health, detect emotion and extract unstructured text meaning, predict crop yields and save resources, detect defects in infrastructure and equipment, predict failures in electrical systems, and sometimes take it a little lighter and predict the best player line-ups on major sports teams. Being a data scientist allows you to be a consultant at SFL Scientific, helping clients solve problems with data first and foremost and work on many varied and skill-expanding projects throughout the year.