Lead, Data Scientist

The Successful Candidate's Primary Responsibilities Will Be To:

• 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