Facebook pixel

Director – Mlops Program Lead
Core Science Services, P2496
Confirmed live in the last 24 hours
Northbrook, IL, USA • Remote • Chicago, IL, USA • New York, NY...
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
  • Proven experience empowering and bringing out the best in cross-functional data science and technology teams
  • Proven experience empowering and bringing out the best in people, while at the same time having a strong execution focus to help the team get the work done
  • Highly skilled in managing business priorities against design/user needs while delivering against product roadmaps
  • Data Science and Artificial Intelligence knowledge and strong understanding of Data Scientists' needs and how they use the products and capabilities of that domain. Relentless pursuit of user adoption and satisfaction
  • Comfortable leading and working with cross-functional teams, advising, influencing, and empowering team members
  • Bring a data-driven approach to decision making, both in day-to-day management and in making strategic tradeoffs
  • Intellectually curious and love learning new skills and capabilities, i.e., artificial intelligence, agile principles, and technology platforms
  • Understanding of best practices in data science and engineering
  • Committed to mentoring and developing Team members to become the next generation of Program Leads
  • Bias towards action with an ability to get results as well as the ability to zoom out for future needs and connect the day-to-day work to our large mission and vision
  • Positive relationship building, interpersonal and influencing skills to achieve alignment throughout the organization
  • 6-8+ years relevant experience working in or with Data Science teams, specifically
  • Developing machine learning solutions and/or Data Science pipeline services
  • Building and delivering sophisticated systems that leverage various machine learning algorithms or technologies that integrate well with other organization-wide systems and are able to scale optimally
  • Familiarity with the Data Science tech stack
  • Experience gathering user requirements for data science solutions
  • Education: Bachelor's degree or equivalent experience in a quantitative field
  • Delivering business results and business / customer value
84.51 Degrees