The company is looking to drive business-focused innovation and validate research through a business lens to deliver significant returns and generate tangible business value.
Requirements
Experience defining goals, user stories, and prioritizing machine learning and artificial intelligence solutions
Experience gathering user requirements for data science solutions
Experience 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.
Experience in designing, developing, and launching ML/ AI solutions that become widely adopted across the enterprise.
Technical acumen – grasps the technical details of data science, machine learning, and artificial intelligence
At least 6 years relevant experience in data science capability development
Education: Bachelor’s or Master’s degree or equivalent in computer science, data science, statistics, mathematics, analytics, or related discipline
Responsibilities
Drive discovery sessions to uncover high-risk, high-reward problem statements and engage with key stakeholders to understand challenges and explore how disruptive sciences can drive value.
Lead research and development by collaborating with LABS’ R&D teams to create functional prototypes and conduct in-market testing that demonstrates technical feasibility and potential for generating business value.
Translate business desires/requirements into effective research and development initiatives
Lead and manage projects, tasks, and stakeholders to ensure that projects are delivered on time.
Think creatively when building analytics solutions to bring the most value to the user, balancing transformation ability of the research and practicality.
Other
Stakeholder management – experienced in building and managing stakeholder relationships to influence and drive change
Problem solving, critical thinking and analytical skills
Planning, organizational and time management skills
Comfort with ambiguity – remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks
Exhibits qualities of and have proven to be a great teammate
Verbal and written communication skills, ability to translate between business and technical
Bachelor’s or Master’s degree or equivalent in computer science, data science, statistics, mathematics, analytics, or related discipline
