S&C Global Network - AI - Song - MMM-Manager at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Finance, MarketingIndustries

Requirements

5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques
Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing
Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborn, Pycaret, and Matplotlib
Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake
Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis)
Hands-on experience in managing data pipelines and deploying scalable machine learning architectures
Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities (Ph.D. or M.Tech is a plus)
Excellent communication and interpersonal skills to effectively collaborate with global teams and clients
Willingness to travel up to 40% of the time
Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods (SVM, Decision Trees), Programming Languages & Tools (Python, NumPy, Pandas, Sklearn), AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP)
Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis)

Responsibilities

Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions
Apply advanced statistical techniques and machine learning models to improve marketing effectiveness
Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies
Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases
Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics
Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies
Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events
Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients
Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs
Build and maintain strong, trusted relationships with internal and external clients
Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance

Skills

Market Mix Modeling

Optimization Algorithms

SVM

Decision Trees

Python

NumPy

Pandas

Sklearn

AI/ML Models

Data Pipeline Management

Snowflake

Azure

AWS

GCP

SQL

Regression

Time Series

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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