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

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. You'll 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