Senior Data Scientist
AI Products
Confirmed live in the last 24 hours
Charlotte, NC, USA
Experience Level
Desired Skills
Data Science
Data & Analytics
  • 3+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in computer science, ML, statistical modeling, or optimization
  • Experience with end-to-end model development, deployment, and monitoring workflows
  • Proficiency in Python and experience with Databricks
  • Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems
  • Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders
  • Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value
  • Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences
  • Bias to action and proactive communicator
  • Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring
  • Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible
  • Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings
  • Work with cutting edge generative AI technologies such as LLMs and collaborate with other highly talented data scientists and engineers
  • Help build and improve AI enabled products such as automated content generation, automated content validation tools, AI powered virtual assistants, to name a few
  • Design and execute multi-disciplinary data science solutions end to end effectively and efficiently
  • Collaborate with other data scientists and engineers to take ideas from discovery to solutions in production
  • Partner with business stakeholders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams
  • Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise
  • Further the data science team's technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others
  • Drive the development of junior team members through mentorship and coaching
  • Help create and promote an inclusive environment where team members feel comfortable and empowered