hireejobs
Register for Job
Hyderabad Jobs
Banglore Jobs
Chennai Jobs
Delhi Jobs
Ahmedabad Jobs
Mumbai Jobs
Pune Jobs
Vijayawada Jobs
Gurgaon Jobs
Noida Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Deployment Optimization Lead

6.00 to 8.00 Years   Mumbai City   25 Feb, 2020
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

About the Role:Deployment Optimisation Lead (Grade: 2C) ResponsibilitiesThere are two core inputs required for driving demand and managing growth

  • Forecast demand for the existing products and Uncover new opportunities for growth
  • Optimize the impact of investments in marketing levers across price, promotion, distribution, brand, media, new product launches
There is an increasing opportunity for predictive analytics, with advancements in machine learning, to improve the precision of demand forecast with reduced latency, help uncover foresights to identify new opportunities for growth and apply evolutions in marketing mix modelling to improve the measurement of impact & optimisation of investment across marketing levers.PMRA is tasked with the responsibility to be at the forefront of this revolution in predictive analytics capabilities to drive better demand forecast of existing products, uncover new opportunities to shape future demand, optimize investments across marketing levers.Increasing precision of demand forecast will involve accounting for multitude of available internal and external data representing different aspects of demand, identification of linear as well as non-linear forces shaping consumer demand, evaluation of best means of incorporating the non-linear forces (with sparse data) in the model, apply evolutions in time-series analysis and machine learning for demand forecasting.Incorporating foresight capabilities for uncovering new opportunities for growth will involve integrating structured and unstructured data from various sources and harnessing machine learning to uncover signals which indicate potential future opportunitiesThe role of Deployment Optimisation lead is a critical role to deliver on this ambition of PMRA.The responsibilities of Deployment Optimisation lead will focus on
  • Build Capabilities and Tools: Lead and deliver projects in the area of Advanced Market Mix Analytics and forecasting which will help evolve existing tools and build new tools for use across the business. Deployment Optimization lead, working with other members of PMRA, CMI and analytics partners, will disintegrate the project objectives into smaller components for experimentations, assemble a team from a pool of econometricians, data scientists, data engineers, constantly monitor the outcomes of the different steps of the experiments in an agile set-up and refine the approaches to deliver a minimum viable product in the agreed timelines, guide the work of the external analytics partners and internal work level 1 PMRA team members. These activities will require strong technical expertise in either or both of Time-series modelling and Machine Learning, which are highlighted in detail in the skills/experience section. Building capabilities / tools will start with completing the planned developments in the present PMRA roadmap
  • Manage and Evolve capabilities/tools: Once the tools are developed and agreed to be deployed across the business, work in partnership with analytics partners or relevant internal teams to make the tools as self-service UI apps for access by the business. Once the tools are deployed, own the ongoing management of the tools and constantly challenge the analytics partners to evolve the capabilities of the tools. A core focus of the role will be to manage the existing tools in the area of marketing mix models and demand forecasting.
The key to success in the role is the ability to drive and democratize at scale sophistication in predictive analytics which delivers better business outcomes.Skills and ExperienceThe skill-sets required for effective implementation of the vision for this role are:
  • Have experience with technical aspects of some of the evolutions in advanced analytics below. It is fine not to have hands-on experience with all the areas outlined below but will be good to have experience in some of these areas and interest, ability to learn quickly on the other areas required on individual projects:
    • Time-series analysis for demand forecast especially different ways of testing and incorporating lead-lag effects. Familiar with derivatives of ARIMA models such as state space modelling
    • Experience with delivering always-on marketing mix models
    • Knowledge of how to account for macro-economic adjustments required for incorporating pricing in marketing mix models for example, accounting for inflation adjustments
    • Natural Language Processing (NLP) to harness unstructured text data and include the NLP constructs in time-series models
    • Use of machine learning for decomposition in mix models
,

Keyskills :
big databrand equity marketing mixearly warning business acumenmachine learning technical skillsretail analytics

APPLY NOW

Deployment Optimization Lead Related Jobs

© 2019 Hireejobs All Rights Reserved