S&C Global Network - AI - Marketing Analytics (MMM) - Manager

Entity:- Accenture Strategy & Consulting

Team:- Strategy & Consulting Global Network

Practice:- Marketing Analytics

Title:- Data Science Manager

Job location:- Gurgaon

About S&C - Global Network:-

Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.


Qualifications

WHATS IN IT FOR YOU?

As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications

In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

What you would do in this role

Working through the phases of project

Define data requirements for creating a model and understand the business problem

Clean, aggregate, analyze, interpret data and carry out quality analysis of it

5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation

Experience in working with non linear optimization techniques.

Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering

Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib

Development of AI/ML models

Develop and Manage data pipelines

Develop and Manage Data within different layers of Azure/ Snowflake

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 marketing mix models.

Working knowledge of MMM optimizer and its intricacies

Awareness of MMM application development and backend engine integration will be preferred

Working along with the team and consultant/manager

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

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

Who we are looking for?

5+ years of work experience in consulting/analytics with reputed organization is desirable.

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

Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP)

Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data

Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes

Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc.

Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc.

Proficient in Excel, MS word, PowerPoint, etc.

Strong client and team management and planning of large-scale projects with risk assessment

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.