Careers


Since 2015, we've built a team of dedicated data scientists, data engineers, and consultants to work on complex problems. As we grow, we are looking for talented individuals that are as adept with the keyboard as they are in the boardroom.

  Flexible hours & schedules.

Flexible hours & schedules.

  Comprehensive health benefits.

Comprehensive health benefits.

  Unlimited personal time off.

Unlimited personal time off.

  Enhanced parental leave.

Enhanced parental leave.

 

Our team partners with clients to solve their most difficult data science challenges through a combination of data modeling, engineering, analytics, and software development, building and deploying end to end solutions. But sometimes we need to learn a new skill, platform, package, or build our leadership and presentation abilities. SFL Scientific encourages comprehensive professional development with emerging technologies and management programs. But sometimes we need a break too — a long one. SFL Scientific is continuously adding benefits to enhance work-life balance and make your career & family more stable and secure. Join us to reshape the data science and machine learning world.

 

Open Positions

Senior Data Engineer

US, NY, Boston | Job ID: DE105
Posted: October 5, 2018

From collecting and processing terabytes of data a day to improving and building new data assets, tools, and pipelines, we build data driven teams and foster a data-informed culture. As a Senior Data Engineer at SFL Scientific you will enable data-driven decision making by collecting, transforming, and visualizing data. You will design, build, maintain, and troubleshoot data processing systems with a particular emphasis on the security, reliability, fault-tolerance, and scalability. Read more >

 

Senior Data Scientist

US, NY, Boston | Job ID: DS001
Posted: October 15, 2018

SFL Scientific is expanding our data science consulting team and we are seeking highly skilled, creative, and driven senior and lead data scientists to design and build breakthrough machine learning and AI solutions. Read more >

 

Data Scientist - Computer Vision

US, New York, NY, Boston, MA | Job ID: DS002
Posted: October 25, 2018

We are looking for a talented computer vision and deep learning expert to join the SFL Scientific Data Science team. As a data science consultant, you will be focused on developing and deploying image processing, machine learning or deep learning solutions that will have impact in the healthcare, biotech, security, and manufacturing industries. SFL Scientific is a US-based data science consulting firm, providing a broad range of services and solutions in data engineering, big data, machine learning, and Artificial Intelligence. Read more >

 

Business Development Executive

US, Boston, MA | Job ID: BD001
Posted: November 14, 2018

We are looking for an experienced, high-energy business development and sales professional to help accelerate our growth in target verticals. You will report to the Vice President and work closely with the SFL Scientific marketing and consulting leadership. This is a highly impactful, position entrusted with the successful delivery of SFL Scientific’s unique value proposition to well-qualified prospects and ecosystem partners. The ideal candidate has business development and sales experience with a terrific reputation for growing revenues in existing clients as well as penetrating new accounts. Read more >


 

Interested to work with us, but don’t see your position listed?


 

Join us as a full time consultant: We are constantly on the lookout for the best data scientists out there. Applicants should be enthusiastic and have a proven industry track record. Our ideal candidates thrive in a fast-paced environment, relish working with large transactional volumes and big data, enjoy the challenge of highly complex business objectives in real-world scenarios, and, above all else, are passionate about data and analytics. In this role, you will be part of a team of engineers, consultants, and scientists to create world-class tools across all industries.

 
 
Name *
Name
Attach a resume or CV: upload