RiverForest Connections Private Limited | Jobs | Vertical Head – Marketing Analytics | BigDataKB.com | 18-02-22

Job Location: Mumbai

Roles and Responsibilities

Job Purpose

  • To lead a team of data scientists for –
  • Developing cutting edge data science capabilities which are currently non-existent or are in nascent stage in team.
  • Lay foundations of AI-best practices that can unlock full potential of data driven decisioning
  • Demonstrating capabilities to minimizes dependency on external vendors for delivering cutting edge analytical solutions and thereby reduce TAT / cost or improve incremental revenue / relevance of recommendations.
  • Ensure new capabilities and best practices are transferred to larger team through ‘build-operate-transfer’ mode.
  • Taking lead in laying out foundation of analytical SOPs along with other vertical heads to drive standardization and creating institutional memory of insights / learnings from various analytical engagements and POCs.
  • Regularly accessing and benchmarking internal analytical capabilities against industry leaders and laying roadmap for overcoming gaps
Job Responsibilities
  • Leading and developing cutting edge data science capabilities in realms of AI
  • Responsible for leading team for development of cutting-edge AI based solutions for superior performance
  • Lay foundation for explainable AI (SHAP / LIME – Local Interpretable Model-Agnostic Explanations)
  • Closely work with Data engineering and Microsoft azure team for seamless deployment of AI solutions
  • Regular interaction with business / product / marketing teams
  • Work jointly with marketing and business teams to identify business problem / opportunity, design analytical approaches and thoroughly evaluate feasibility of development and deployment of analytical solution in reals of AI
  • Communicate the solution / findings / insights from the analytical solution to stake holders and arrive at plan of action
  • Incumbent will lead these discussions with senior stake holders
  • Ensuring new analytical solutions are utilized optimally
  • Drive proper utilization of analytical solutions by coordinating with various stakeholders and overcoming any roadblocks
  • Continuous performance monitoring and improvement of analytical solutions
  • Continuously review the efficacy of analytical solutions. Use new data, better set up and close loop feedback data for seamless improvement
    Benchmarking of data science capabilities
    • Regularly benchmark data science capabilities against industry.
    • Identify area of development of data science capabilities and work towards bridging identified gaps
    • Work towards creating best in class center of excellence team
    Ensure knowledge transfer and democratization of cutting-edge analytical capabilities
    Work towards ‘build-operate-transfer’ to democratize cutting edge analytical capabilities specially in realms of AI/NLP / Neural network/ transfer learning
    Educational Qualifications
    PHD / Post graduation or equivalent in highly quantitative disciplines: Mathematics, Statistics, Economics, etc.
    Key Skills
  • Hands-on experience in development and deployment of AI solutions
  • Project Management Skills.
  • Excellent communication skills as required for interpreting and explaining AI and other complex solutions
  • Vendor Management
  • Strong analytical skills, logical & mathematical skills Experience Required (examples listed below)

    Minimum experience in years: 10+ years in advanced predictive analytics domain

    Proven track record in developing and implementing AI based solutions in cloud-based environment, preferably in financial domain

    Prior hands-on experience in development and deployment of cutting-edge data science techniques (including unstructured data and big data technologies)

    Strong knowledge of data structures, analytical tools like Python

    Proven track record in setting up Center of Excellence data science unit will be an added advantage.

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