
Senior Consultant, Data Science β Analytics
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in Costa Rica.
β’ Spearhead the design and implementation of sophisticated machine learning, advanced analytics, and artificial intelligence solutions.
β’ Set technical standards, establish reusable best practices, and develop solution-design methodologies.
β’ Provide technical leadership across various projects.
β’ Oversee the complete delivery process from defining problems and designing analytics to production implementation and continuous enhancement.
β’ Assess emerging technologies and pinpoint opportunities to enhance automation and analytical capabilities.
β’ Collaborate with Product, Engineering, and business leaders on technical solutions and cross-functional initiatives.
β’ Communicate analytical findings, business implications, and recommendations to both technical and non-technical audiences.
β’ Mentor and coach team members, facilitate knowledge-sharing sessions, and offer technical expertise in recruitment efforts.
β’ Shape technical and strategic decisions across teams and business areas.
β’ A bachelorβs degree or higher in a quantitative discipline, or equivalent knowledge and experience related to data science, machine learning, or advanced analytics.
β’ Four to six years of experience in data science, machine learning, advanced analytics, or a related field.
β’ Proven experience leading intricate analytics or machine learning projects from design through development, implementation, and delivery.
β’ Experience in providing technical guidance, mentoring peers, and fostering knowledge development within a team.
β’ Ability to transform complex business challenges into analytical solutions and effectively communicate recommendations to a diverse set of stakeholders.
β’ In-depth knowledge of machine learning and statistical modeling.
β’ High proficiency in Python and Structured Query Language (SQL).
β’ Familiarity with BigQuery and contemporary machine learning tools or ecosystems.
β’ Experience working with cloud-based artificial intelligence and data platforms.
β’ Proven track record in developing scalable, production-grade machine learning solutions that meet quality and performance standards.
β’ Flexibility in work/life balance.
β’ Resources available to support professional development and career growth.
β’ Opportunities to innovate, grow, and make contributions to communities and customers.
β’ Access to resources for professional development.
β’ Occasional in-person participation at work-related events.
Built
Imagine Pediatrics
Gopuff
Applaudo
Get handpicked remote jobs straight to your inbox weekly.