Careers > Senior Manager Data Science
Position: Senior Manager Data Science
Team: Data Science Consulting
Locations: Boston, MA
Please send cover letter, CV or resume to firstname.lastname@example.org or apply below.
SFL Scientific is expanding our data science consulting teams and seeking a Senior Manager that enjoys solving complex analytical and technical problems and wants to build custom solutions for complex and R&D problems. The SFL Scientific Data Science Team is responsible for analyzing vast amounts of data, generate insights from EDA processes, develops client strategies, and builds models and tools that drive novel tools and products in a wide variety of applications and industries. We are looking for an experienced and talented leader for our data team. We’re hiring experienced technical experts to lead data science teams that collaborate with our customers on building solutions at the database, data management, and machine learning solutions level.
The Senior Manager Data Science will have excellent business, technical, analytical, and strategic thinking skills. The Manager will coach and lead a team of data scientist and data engineers to work with business and technology leaders to define and prioritize key business and customer problems, build data acquisition and integration pipelines to create data sets, develop statistical and machine learning models. The role requires client facing consulting experience as well as deep foundational expertise with data science, machine learning, deep learning, and artificial intelligence solutions.
Essential Duties & Responsibilities:
Collaborate and help develop machine learning models and data-informed business strategy.
Demonstrate technical thought leadership in select industries: Healthcare, life sciences, pharma, manufacturing, and legal.
Implement state of the art machine learning and deep learning models across a variety of business problems.
Be a thought leader on data systems, engineering architecture, data mining, and machine learning at scale.
Help organizations, governments, and private industry develop automation tools and novel approaches.
Support in-depth business reviews, technical presentations, and work directly with senior leadership and executives.
Education & Experience:
Masters or Ph.D. degree in Engineering, Physics, Computer Science, Mathematics, Statistics or related field
10+ years of data science and machine learning experience in developing products or services
Expert in deep learning, distributed systems, high-performance compute, and big data solutions
Expert in data visualization, developing dashboards, ad-hoc, and pre-built reporting
Strong record of leading teams, working with partners, and developing data scientists
You must be authorized to work in the US. We support flexible work hours and paid professional development.
About SFL Scientific
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.