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Mondelez
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Discovery Analytics Lead

Discovery Analytics Lead

Mondelez

5 - 10 years

20 - 25 Lacs

mumbai

Posted:3 weeks ago| Platform:

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Skills Required

supply chain procurement data science sas business analytics analytical data collection fmcg forecasting analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvements
Identify and incubate best-in-class external partners to drive delivery on projects
Work on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
Build a professional and reliable team
Run the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver`

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

Ability to influence the business agenda and make recommendations to senior leaders
Leadership experience in best-in-class analytics practice roles
Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
Savvy in usage of analytics techniques to create business impacts
Proven people leadership experience

More about this role

In this role you will make an impact on our business supporting decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze data and generate insights. You will have the develop & deploy unique data science solutions for the business.

What you need to know about this position:

Inspire & l ead a team of data scientists and analysts , provide guidance o n high impact projects.

Influence standards for data modelling and design tools and techniques and advise on their application and you will work with IT to set standards for tools, platforms and infrastructure

Contribute to the creation and review of a cross-functional, enterprise-wide approach and culture of analytics and contribute to the development of analytics policy, standards and guidelines

team including manage talent & career foster a learning environment & build a high performing organization.

Build relationships with external experts and other advanced IT organizations to maintain knowledge of technology advancements and trends

Manage the introduction and use of analytics to meet business requirements, ensuring consistency across the team . Also, you will be responsible to adopt to enable the function to analyze data, generate insights, create value and drive decision making while you measure the progress of initiatives and market successes to the organization

Assess the business problems to be solved and what internal or external data sources to use or acquire

Identify and establish the veracity of the external sources of information that are relevant to the operational needs of the enterprise

Define business-oriented goals for initiative(s) and explain the initiative(s) to business managers

Apply your expertise in analysis of data with high volumes, velocities and variety (numbers, symbols, text, sound and image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision making

Understand the identification, validation and exploitation of internal and external data sets generated from a diverse range of functional processes and in general you will be an expert in functional data and data sets

What extra ingredients you will bring:

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

Minimum 15 years of experience in relevant areas including Data Science, Data Analytics, Big Data, Cloud Computing, Machine Learning ( time can include relevant degree studies )

At least 1 0 years of managing analytics teams, working collaboratively with multiple stakeholders.

Demonstrated experience in hiring, retaining & coaching geographically dispersed teams.

Strong quantitative background in statistics and linear algebra as well as programming knowledge

Hold a MSc/PhD in a Data Science field such as Mathematics, Statistics , Economics, Business or a related field. Strong experience in forecasting, segmentation and optimization algorithms

Expert in classification techniques, regression techniques, collaborative filtering, association rules, and heuristics approaches and their applications to real-life business scenarios

Proven record of designing scalable Data Science solutions with expert understanding of architectural choices that need to be made

Demonstrated ability to work in an agile environment

Bring experience with managing and coaching large teams of senior Data Scientists and managers and have an ability to build and grow Data Science teams as needed.

Proficiency in navigating Cloud solutions and architecture Azure and Google Cloud Platform

Very good understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, Databricks and familiarity querying databases

Very good understanding of critical Spark Performance Tuning on Databricks

Ability to calculate the cost of end to end solution (both CAPEX and OPEX side)

High understanding of Databricks platform and Spark performance tuning

Proven experience of creating end-to-end Data Science solutions architectures including CI/CD, MLOps etc.

Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions

Experience interfacing with high-level stakeholders ( Senior Directors, VPs, SVPs and C-level )

Experience in solving Supply Chain business problems through Data Science including Supply Side, Demand Side, Procurement

Knowledge of running Machine Learning for IoT

E xperience in forecasting for large FMCG companies with deployment to production using advanced and scalable architectures