SFL was founded in 2015 as a data science and professional consulting firm with specialties in data science, scientific advisory, business intelligence, and software development. We work across sectors and offer a completely personalized experience. Our team of data scientists apply the appropriate machine learning tools to subsectors in banking & finance, healthcare, pharmaceuticals, cybersecurity, information technology, manufacturing, and retail. Input data such as time-series events, images, and text are used to uncover hidden layers and connections, yielding better predictions and classification in the form of actionable output.
The target locations for this position are: Boston, New York, San Francisco, Portland, Denver, Washington, D.C. or remote in neighboring areas.
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 approaches and machine learning solutions across all industries.
As a Senior Data Scientist, you will be work directly with our clients to deliver data-driven solutions for a whole range of data science and data engineering projects - healthcare, biotech, pharma, manufacturing, legal, supply chain, etc. Our ideal candidate is an accomplished expert with deep technical ability and implementation skills – he/she designs, prototypes, develops, and fields predictive models and analytical approaches that power critical business functions.
The successful candidate will have demonstrated ability to manage projects, provide thought leadership, and act as an autonomous member of the SFL Scientific team, while reporting directly to senior leadership. Strong communication and presence, collaboration, and ability to operate effectively in a fast moving environment are key success factors. The role of the Senior Data Scientist will include the entire workflow of a data science project: From ensuring data quality throughout all stages of acquisition and processing to the cleaning, visualizing, analyzing, predicting with the data, and creation of a final product or pipeline.
Job Role & Strengths:
Strong primary expertise as data engineer or data scientist, with the ability to stretch beyond one’s core field of expertise. Successful candidates share the following requirements: