Job
Description
Drive the evolution of Advanced Analytics products with an impact focused on data science and engineering Participate in the exploration, application and development of data science for product development Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development Continuously innovate and determine new data science approaches technologies to solve business problems and generate business insights recommendations Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework Evaluate trade-offs between many possible analytics solutions to a problem, taking into account performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders Evangelize releases to users, incorporating feedback, and tracking usage to inform future development Work with small, cross-functional teams to define vision, establish team culture and processes Consistently focus on key drivers of organization value and prioritize operational activities accordingly Identify and act upon product improvement opportunities Provide technical leadership of junior colleagues as a senior member of the data science team, through technical and non-technical mentoring This role requires the successful candidate to have the following: Prior experience in working in a data science product development role Strong hands-on experience in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics etc. High proficiency in Python, Spark, SQL, R and be able to navigate across multiple languages Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark) or Databricks Demonstrated quantitative and problem-solving abilities including application to real business problems Strong project management skills and ability to meet business deadlines and execution Motivated, flexible, self-directed, and desire to lead small project teams as applicable Curiosity, creativity, and excitement for technology and innovation and outside-in perspectives Ability to multi-task and strong attention to detail including data utilized, methodology, results and validation Outstanding communication and organizational skills Masters preferred in Quantitative discipline like Physical Sciences, Mathematics, Statistics, Economics, Engineering etc. 7-10 years of experience in Data Science function supporting Products.
