S&C Global Network - AI - Song - Merchandising-Senior Manager at Accenture

Gurugram, Haryana, India

Accenture Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, ConsultingIndustries

Requirements

  • 7+ years of work experience in consulting/analytics with a reputed organization
  • Master degree in Statistics/Econometrics/Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college
  • 5+ years of advanced experience in Data Driven Merchandizing involving setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients
  • Knowledge of price/discount elasticity estimation
  • Experience in working with non-linear optimization techniques
  • Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability
  • Hands-on experience in state space modeling and mixed effect regression
  • Development of AI/ML models in Azure ML tech stack
  • Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP)
  • Must have knowledge of building price/discount elasticity models and conduct non-linear optimization
  • Must have good knowledge of state space & mixed-effect modeling techniques and optimization
  • Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production
  • Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models
  • Working knowledge of Price/Promo optimization
  • Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials
  • Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress

Responsibilities

  • Define data requirements for Data Driven Merchandizing capability
  • Clean, aggregate, analyze, interpret data, and carry out data quality analysis
  • Develop and Manage data pipelines
  • Develop and Manage Data within different layers of Snowflake environment
  • Well versed with creating insights presentations and client ready decks
  • Should be able to mentor and guide a team of 10-15 people under him/her
  • Manage client relationships and expectations and communicate insights and recommendations effectively
  • Capability building and thought leadership
  • Working through the phases of project

Skills

Data Science
Marketing Analytics
Data Driven Merchandising
Pricing Optimization
Promotions Optimization
Assortment Optimization
Price Elasticity Estimation
Data Cleaning
Data Aggregation
Data Analysis
Data Quality Analysis
Predictive Modelling

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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