Data Science Consulting

Artificial Intelligence Project Manager

Boston, MA | Remote
Posted: April 4, 2021

The Role

SFL Scientific is a data science consulting firm applying AI & machine learning to help organizations develop new AI tools and business opportunities. We offer R&D and advisory to organizations across a dozen industries.

SFL Scientific is hiring a Data Science Project Manager to support our team in working with clients, organizing project development, and enabling technical solution delivery. Join a rapidly growing team of professionals working to build a world-class data science firm with a focus on solving complex and R&D problems.

In this role, you will work with the data science team to execute AI development projects. You will help with the day-to-day program management of project schedules, client communication, deliverables, problem-solving and management, and reporting. You will be involved and will have ownership driving technical strategy, customer experience, and business and technical objectives. This may include problem scoping, code review, and providing expertise by working with clients to understand what needs to be developed, developing realistic project scope, and how to best execute using internal or external partner resources.

This position is based in our Boston office, with current remote work in any location per COVID-19.

Responsibilities

• Be the face of the data science team and prioritize and plan project execution, including written reports, project summaries, and client communication and briefings

• Along with Technical Leads, manage the effort, execution, reporting, and analysis of technical objectives & milestones

• Manage scope and evaluate priorities to efficiently balance resources for all DS projects

• Develop relationships with and ensure appropriate participation of client stakeholders and provide timely reporting, including presentations and written summaries.

• Define and build process for managing the development cycle for complex data models & architectures

• Lead final reporting & advisory functions based on project outcomes

• Identify opportunities for improvement in professional services, software stack, project methods, delivery, reporting, and for all DS related processes

• Participate in code reviews and evaluate project requirements versus scoped deliverables

 

About You

Requirements

• 3+ years of program management, data science, analytics, or business operations experience

• Previous experience working as a data scientist, data engineer; experience in computer vision, NLP, or other ML/AI modeling techniques

• Energetic team leader with client-facing, written, verbal, and conceptual skills

• Ability to work effectively with deadlines in a fast-paced, consulting environment

• Proven ability to manage multiple, competing, priorities simultaneously. Previous project scoping and project delivery experience preferred.

• Graduate Degree; STEM field, Masters or Ph.D.

Benefits

Medical insurance, dental insurance, vision insurance, 401(k), paid maternity/paternity leave, disability insurance, etc.

Growth

This person will have a complete view of a growing consulting firm in a novel, technical field, working in a highly collaborative and responsive environment with high-profile Fortune 100 clients and partners. The candidate has the opportunity to shape how the data science team functions within SFL Scientific as the company expands based on client performance, project delivery, and technical solution development. This is an opportunity for a talented data scientist to grow into a manager role, develop professionally and help build a cohesive team of engineers, consultants, and scientists sales to support AI development and services efforts.

Apply Now

We care about the security and privacy of our candidates, for that reason here are a few tips to follow.
SFL Scientific personnel will: Never ask you to engage in conversations that are not over the phone, email, or LinkedIn. Only use @sflscienific.com email accounts. Never ask you about your gender identity, race, color, religion. Never ask you to submit over email any identifying information including social security numbers, drivers license, passport numbers or credit card numbers. Never send a contract or job offer without first having an interview with our teams. If you need assistance with applying for a position, please email careers@sflscientific.com