SFL Scientific is expanding our data science consulting team and we are seeking data-intensive senior and lead data scientists to design and build end to end approaches and ML/AI solutions across healthcare, life sciences, manufacturing, medical devices, and other industries.
As a Senior Data Scientist, you will be work directly with our clients to design and develop solutions for a wide range of data science and data engineering projects. Our ideal candidate is an accomplished expert with deep technical ability and implementation skills that is able to find the correct mix of business objective, value, cost, technical feasibility to solve complex problems.
The successful candidate will have demonstrated ability to manage projects, provide thought leadership, and act as an autonomous member of the SFL Scientific team. 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.
This is a full-time position in Boston, MA. Flexible work schedule and minimal travel to clients on-site.
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:
Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
High-level knowledge of various machine learning techniques and key parameters that affect their performance
Ability to develop experimental and analytic plans for data modeling processes
Strong client management skills – ability to lead and persuade, positive energy, focus on business impact and implementation supported by data quality & EDA
Master’s degree in a relevant field
5+ years experience with various data analysis and visualization tools
Proficient in traditional ML and deep learning techniques
Proficient in core programming languages, such as: Python, R, C/C++, Scala and aux sets/tools - Keras, Tensorflow, PyTorch, Docker, Kubernetes, etc.
Proficient with SQL and NoSQL
Proficient with Tableau, R-Shiny, or other data visualization tools
Proficient with AWS or Azure cloud computing environments
Proficient with a distributed computing platform (Hadoop, Spark, etc.)
Experience querying and administering big data storage services (Redshift, Teradata, Aurora, DynamoDB, etc.)
Experience with general software release cycle, productionizing ML or predictive analytics models at scale.
Please send a note and CV/resume, to firstname.lastname@example.org, apply directly at https://sflscientific.com/careers/senior-data-scientist.
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SFL Scientific is a US-based data science consulting and services company, providing a broad range of services and solutions in data engineering, big data, machine learning, and Artificial Intelligence. SFL works at the intersection of business and technology to help clients improve their performance and create sustainable value for stakeholders using custom algorithm development and data-driven solutions. We are industry agnostic and instead focus on solving complex, R&D, and challenging business problems. Learn more at sflscientific.com
Comprehensive benefits, healthcare, dental, vision, parental leave/support, 401k, flexible work and commuter specific work programs, and more.
Python, R, C/C++, Scala, Java, Tableau, R-Shiny, Hadoop, Spark, AWS, MongoDB, Cassandra, SQL/PostgreSQL, Docker, Kubernetes, Puppet, Chef, Ansible, Flask, Dask, and so on.
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