Director / VP Analytics

Zenon Analytics Private limited 

Job Description: Director/VP - Analytics

Zenon Analytics is a global boutique consulting firm and the leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using AI and automation.

What will you do?
• Leadership role wherein she/he would work closely with Zenon’s executive leadership to conceptualize, develop, implement solutions in the AI-ML space, especially focused on NLP and unstructured data analytics
• Lead a high functioning and results-driven cross-functional team to design, develop, and deploy state-of-the-art, data-driven models across NLP, deep learning and machine learning
• Deliver projects to drive business strategy and solve challenging problems using the latest and most appropriate technologies
• Establish both short-term and long-term strategic roadmaps to drive results
• Provide technical leadership and career mentorship to data scientists with a wide range of backgrounds

What are we looking for?
• 10+ years relevant experience
• B.Tech/B.Tech+M.Tech/M.Tech from top IITs in a quantitative field (i.e. Computer Science, Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) or Advanced degree (M.Tech/MS/PhD or equivalent) in data heavy research discipline with substantial quantitative analysis
• A proven track record of leading multiple data science and NLP projects from start to finish and delivering business value
• Experience managing and mentoring mid-large sized cross-geographical teams of data scientists
• Expertise in designing strategies and presenting proposals to clients and internal stakeholders
• Very solid grasp of NLP and machine learning along with strong programming skills
• Should have deep knowledge and interest in emerging trends in the AI/data science domain and should be keen on learning new technologies
• Excellent written and verbal communication skills, experience in executive-facing presentations will be good to have
• Data science experience in Financial Services/ Healthcare companies is preferred.