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
  • 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation
  • Experience in working with nonlinear 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 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 along with the team and consultant/manager
• Looking for insight and creating a presentation to demonstrate these insights
• Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects
• Basic 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?

• 2+ years for Analyst & 4+ years for Consultant 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 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.

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.