Job Description
Lead Machine Learning Engineer
This role is a senior-level position in data science, centered on applying machine learning to solve complex problems, drive project execution, and mentor team members. The successful candidate will lead and actively contribute to initiatives that leverage advanced analytics to deliver tangible, real-world outcomes.
Responsibilities
* Communicate data-driven insights and strategic recommendations to clients and internal stakeholders in a clear, actionable manner.
* Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization.
* Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes.
* Provide mentorship and guidance to junior data scientists and analysts, supporting their technical growth and professional development.
* Contribute to business development activities by supporting proposal creation and demonstrating the value of data science capabilities to potential clients.
* Partner with data engineering teams to ensure seamless integration of analytics solutions within client environments.
* Collaborate with leadership to shape the roadmap for data science initiatives and ensure alignment with strategic objectives.
Required Experience
* Demonstrated experience in developing and evaluating machine learning and AI solutions within commercial or client-facing environments.
* Proficiency in Python or R, with hands-on application of supervised and unsupervised learning methods, as well as more advanced modeling techniques.
* Strong ability to distill complex technical findings into language that resonates with business audiences.
* Proven leadership in managing project teams and navigating challenges posed by large, unstructured, or messy datasets.
* Experience in consulting, proposal development, and strategic project planning.